A Multi-Object Tracking Approach Combining Contextual Features and Trajectory Prediction Article Swipe
Peng Zhang
,
Qingyang Jing
,
Xinlei Zhao
,
Lijia Dong
,
Weimin Lei
,
Zhang We
,
Zhaonan Lin
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/electronics12234720
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/electronics12234720
Aiming to solve the problem of the identity switching of objects with similar appearances in real scenarios, a multi-object tracking approach combining contextual features and trajectory prediction is proposed. This approach integrates the motion and appearance features of objects. The motion features are mainly used for trajectory prediction, and the appearance features are divided into contextual features and individual features, which are mainly used for trajectory matching. In order to accurately distinguish the identities of objects with similar appearances, a context graph is constructed by taking the specified object as the master node and its neighboring objects as the branch nodes. A preprocessing module is applied to exclude unnecessary connections in the graph model based on the speed of the historical trajectory of the object, and to distinguish the features of objects with similar appearances. Feature matching is performed using the Hungarian algorithm, based on the similarity matrix obtained from the features. Post-processing is performed for the temporarily unmatched frames to obtain the final object matching results. The experimental results show that the approach proposed in this paper can achieve the highest MOTA.
Related Topics
Concepts
Computer science
Artificial intelligence
Trajectory
Computer vision
Preprocessor
Object (grammar)
Graph
Matching (statistics)
Video tracking
Similarity (geometry)
Feature (linguistics)
Feature matching
Pattern recognition (psychology)
Context (archaeology)
Feature extraction
Mathematics
Image (mathematics)
Theoretical computer science
Statistics
Astronomy
Philosophy
Paleontology
Linguistics
Biology
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics12234720
- https://www.mdpi.com/2079-9292/12/23/4720/pdf?version=1700556019
- OA Status
- gold
- Cited By
- 2
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388857406
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4388857406Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics12234720Digital Object Identifier
- Title
-
A Multi-Object Tracking Approach Combining Contextual Features and Trajectory PredictionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-21Full publication date if available
- Authors
-
Peng Zhang, Qingyang Jing, Xinlei Zhao, Lijia Dong, Weimin Lei, Zhang We, Zhaonan LinList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics12234720Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-9292/12/23/4720/pdf?version=1700556019Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2079-9292/12/23/4720/pdf?version=1700556019Direct OA link when available
- Concepts
-
Computer science, Artificial intelligence, Trajectory, Computer vision, Preprocessor, Object (grammar), Graph, Matching (statistics), Video tracking, Similarity (geometry), Feature (linguistics), Feature matching, Pattern recognition (psychology), Context (archaeology), Feature extraction, Mathematics, Image (mathematics), Theoretical computer science, Statistics, Astronomy, Philosophy, Paleontology, Linguistics, Biology, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2Per-year citation counts (last 5 years)
- References (count)
-
27Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4388857406 |
|---|---|
| doi | https://doi.org/10.3390/electronics12234720 |
| ids.doi | https://doi.org/10.3390/electronics12234720 |
| ids.openalex | https://openalex.org/W4388857406 |
| fwci | 0.36393668 |
| type | article |
| title | A Multi-Object Tracking Approach Combining Contextual Features and Trajectory Prediction |
| biblio.issue | 23 |
| biblio.volume | 12 |
| biblio.last_page | 4720 |
| biblio.first_page | 4720 |
| topics[0].id | https://openalex.org/T10331 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Video Surveillance and Tracking Methods |
| topics[1].id | https://openalex.org/T10812 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9926000237464905 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Human Pose and Action Recognition |
| topics[2].id | https://openalex.org/T13282 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9889000058174133 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2212 |
| topics[2].subfield.display_name | Ocean Engineering |
| topics[2].display_name | Automated Road and Building Extraction |
| is_xpac | False |
| apc_list.value | 2000 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2165 |
| apc_paid.value | 2000 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2165 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.6971651315689087 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C154945302 |
| concepts[1].level | 1 |
| concepts[1].score | 0.6940447092056274 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[1].display_name | Artificial intelligence |
| concepts[2].id | https://openalex.org/C13662910 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6643500328063965 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q193139 |
| concepts[2].display_name | Trajectory |
| concepts[3].id | https://openalex.org/C31972630 |
| concepts[3].level | 1 |
| concepts[3].score | 0.6141183376312256 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[3].display_name | Computer vision |
| concepts[4].id | https://openalex.org/C34736171 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5876607298851013 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q918333 |
| concepts[4].display_name | Preprocessor |
| concepts[5].id | https://openalex.org/C2781238097 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5508877038955688 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q175026 |
| concepts[5].display_name | Object (grammar) |
| concepts[6].id | https://openalex.org/C132525143 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5488210916519165 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q141488 |
| concepts[6].display_name | Graph |
| concepts[7].id | https://openalex.org/C165064840 |
| concepts[7].level | 2 |
| concepts[7].score | 0.5360512733459473 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1321061 |
| concepts[7].display_name | Matching (statistics) |
| concepts[8].id | https://openalex.org/C202474056 |
| concepts[8].level | 3 |
| concepts[8].score | 0.5004174709320068 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1931635 |
| concepts[8].display_name | Video tracking |
| concepts[9].id | https://openalex.org/C103278499 |
| concepts[9].level | 3 |
| concepts[9].score | 0.5001697540283203 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q254465 |
| concepts[9].display_name | Similarity (geometry) |
| concepts[10].id | https://openalex.org/C2776401178 |
| concepts[10].level | 2 |
| concepts[10].score | 0.4929921329021454 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q12050496 |
| concepts[10].display_name | Feature (linguistics) |
| concepts[11].id | https://openalex.org/C2983787585 |
| concepts[11].level | 3 |
| concepts[11].score | 0.4719219207763672 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q93586 |
| concepts[11].display_name | Feature matching |
| concepts[12].id | https://openalex.org/C153180895 |
| concepts[12].level | 2 |
| concepts[12].score | 0.46934735774993896 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7148389 |
| concepts[12].display_name | Pattern recognition (psychology) |
| concepts[13].id | https://openalex.org/C2779343474 |
| concepts[13].level | 2 |
| concepts[13].score | 0.45182177424430847 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q3109175 |
| concepts[13].display_name | Context (archaeology) |
| concepts[14].id | https://openalex.org/C52622490 |
| concepts[14].level | 2 |
| concepts[14].score | 0.29860883951187134 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q1026626 |
| concepts[14].display_name | Feature extraction |
| concepts[15].id | https://openalex.org/C33923547 |
| concepts[15].level | 0 |
| concepts[15].score | 0.20925801992416382 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[15].display_name | Mathematics |
| concepts[16].id | https://openalex.org/C115961682 |
| concepts[16].level | 2 |
| concepts[16].score | 0.18194681406021118 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q860623 |
| concepts[16].display_name | Image (mathematics) |
| concepts[17].id | https://openalex.org/C80444323 |
| concepts[17].level | 1 |
| concepts[17].score | 0.11847537755966187 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q2878974 |
| concepts[17].display_name | Theoretical computer science |
| concepts[18].id | https://openalex.org/C105795698 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[18].display_name | Statistics |
| concepts[19].id | https://openalex.org/C1276947 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q333 |
| concepts[19].display_name | Astronomy |
| concepts[20].id | https://openalex.org/C138885662 |
| concepts[20].level | 0 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[20].display_name | Philosophy |
| concepts[21].id | https://openalex.org/C151730666 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q7205 |
| concepts[21].display_name | Paleontology |
| concepts[22].id | https://openalex.org/C41895202 |
| concepts[22].level | 1 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[22].display_name | Linguistics |
| concepts[23].id | https://openalex.org/C86803240 |
| concepts[23].level | 0 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[23].display_name | Biology |
| concepts[24].id | https://openalex.org/C121332964 |
| concepts[24].level | 0 |
| concepts[24].score | 0.0 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[24].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.6971651315689087 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[1].score | 0.6940447092056274 |
| keywords[1].display_name | Artificial intelligence |
| keywords[2].id | https://openalex.org/keywords/trajectory |
| keywords[2].score | 0.6643500328063965 |
| keywords[2].display_name | Trajectory |
| keywords[3].id | https://openalex.org/keywords/computer-vision |
| keywords[3].score | 0.6141183376312256 |
| keywords[3].display_name | Computer vision |
| keywords[4].id | https://openalex.org/keywords/preprocessor |
| keywords[4].score | 0.5876607298851013 |
| keywords[4].display_name | Preprocessor |
| keywords[5].id | https://openalex.org/keywords/object |
| keywords[5].score | 0.5508877038955688 |
| keywords[5].display_name | Object (grammar) |
| keywords[6].id | https://openalex.org/keywords/graph |
| keywords[6].score | 0.5488210916519165 |
| keywords[6].display_name | Graph |
| keywords[7].id | https://openalex.org/keywords/matching |
| keywords[7].score | 0.5360512733459473 |
| keywords[7].display_name | Matching (statistics) |
| keywords[8].id | https://openalex.org/keywords/video-tracking |
| keywords[8].score | 0.5004174709320068 |
| keywords[8].display_name | Video tracking |
| keywords[9].id | https://openalex.org/keywords/similarity |
| keywords[9].score | 0.5001697540283203 |
| keywords[9].display_name | Similarity (geometry) |
| keywords[10].id | https://openalex.org/keywords/feature |
| keywords[10].score | 0.4929921329021454 |
| keywords[10].display_name | Feature (linguistics) |
| keywords[11].id | https://openalex.org/keywords/feature-matching |
| keywords[11].score | 0.4719219207763672 |
| keywords[11].display_name | Feature matching |
| keywords[12].id | https://openalex.org/keywords/pattern-recognition |
| keywords[12].score | 0.46934735774993896 |
| keywords[12].display_name | Pattern recognition (psychology) |
| keywords[13].id | https://openalex.org/keywords/context |
| keywords[13].score | 0.45182177424430847 |
| keywords[13].display_name | Context (archaeology) |
| keywords[14].id | https://openalex.org/keywords/feature-extraction |
| keywords[14].score | 0.29860883951187134 |
| keywords[14].display_name | Feature extraction |
| keywords[15].id | https://openalex.org/keywords/mathematics |
| keywords[15].score | 0.20925801992416382 |
| keywords[15].display_name | Mathematics |
| keywords[16].id | https://openalex.org/keywords/image |
| keywords[16].score | 0.18194681406021118 |
| keywords[16].display_name | Image (mathematics) |
| keywords[17].id | https://openalex.org/keywords/theoretical-computer-science |
| keywords[17].score | 0.11847537755966187 |
| keywords[17].display_name | Theoretical computer science |
| language | en |
| locations[0].id | doi:10.3390/electronics12234720 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210202905 |
| locations[0].source.issn | 2079-9292 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2079-9292 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Electronics |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/2079-9292/12/23/4720/pdf?version=1700556019 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Electronics |
| locations[0].landing_page_url | https://doi.org/10.3390/electronics12234720 |
| locations[1].id | pmh:oai:mdpi.com:/2079-9292/12/23/4720/ |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400947 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | MDPI (MDPI AG) |
| locations[1].source.host_organization | https://openalex.org/I4210097602 |
| locations[1].source.host_organization_name | Multidisciplinary Digital Publishing Institute (Switzerland) |
| locations[1].source.host_organization_lineage | https://openalex.org/I4210097602 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Text |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Electronics |
| locations[1].landing_page_url | https://dx.doi.org/10.3390/electronics12234720 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5092266705 |
| authorships[0].author.orcid | https://orcid.org/0009-0002-2071-7730 |
| authorships[0].author.display_name | Peng Zhang |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I9224756 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| authorships[0].institutions[0].id | https://openalex.org/I9224756 |
| authorships[0].institutions[0].ror | https://ror.org/03awzbc87 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I9224756 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Northeastern University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Peng Zhang |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| authorships[1].author.id | https://openalex.org/A5023519611 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-9568-2539 |
| authorships[1].author.display_name | Qingyang Jing |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I9224756 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| authorships[1].institutions[0].id | https://openalex.org/I9224756 |
| authorships[1].institutions[0].ror | https://ror.org/03awzbc87 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I9224756 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Northeastern University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Qingyang Jing |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| authorships[2].author.id | https://openalex.org/A5044494474 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-6709-2961 |
| authorships[2].author.display_name | Xinlei Zhao |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210120842 |
| authorships[2].affiliations[0].raw_affiliation_string | Shenyang Er Yi San Electronic Technology Co., Ltd., Shenyang 110023, China |
| authorships[2].institutions[0].id | https://openalex.org/I4210120842 |
| authorships[2].institutions[0].ror | https://ror.org/02xqp7x96 |
| authorships[2].institutions[0].type | company |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210120842 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Shenyang Institute of Computing Technology (China) |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Xinlei Zhao |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Shenyang Er Yi San Electronic Technology Co., Ltd., Shenyang 110023, China |
| authorships[3].author.id | https://openalex.org/A5103222467 |
| authorships[3].author.orcid | https://orcid.org/0009-0004-7977-9965 |
| authorships[3].author.display_name | Lijia Dong |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210120842 |
| authorships[3].affiliations[0].raw_affiliation_string | Shenyang Er Yi San Electronic Technology Co., Ltd., Shenyang 110023, China |
| authorships[3].institutions[0].id | https://openalex.org/I4210120842 |
| authorships[3].institutions[0].ror | https://ror.org/02xqp7x96 |
| authorships[3].institutions[0].type | company |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210120842 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Shenyang Institute of Computing Technology (China) |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Lijia Dong |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Shenyang Er Yi San Electronic Technology Co., Ltd., Shenyang 110023, China |
| authorships[4].author.id | https://openalex.org/A5037663621 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-1877-7355 |
| authorships[4].author.display_name | Weimin Lei |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I9224756 |
| authorships[4].affiliations[0].raw_affiliation_string | School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| authorships[4].institutions[0].id | https://openalex.org/I9224756 |
| authorships[4].institutions[0].ror | https://ror.org/03awzbc87 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I9224756 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Northeastern University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Weimin Lei |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| authorships[5].author.id | https://openalex.org/A5023984232 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-6212-9991 |
| authorships[5].author.display_name | Zhang We |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I9224756 |
| authorships[5].affiliations[0].raw_affiliation_string | School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| authorships[5].institutions[0].id | https://openalex.org/I9224756 |
| authorships[5].institutions[0].ror | https://ror.org/03awzbc87 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I9224756 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Northeastern University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Wei Zhang |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| authorships[6].author.id | https://openalex.org/A5019866695 |
| authorships[6].author.orcid | https://orcid.org/0009-0002-3442-5456 |
| authorships[6].author.display_name | Zhaonan Lin |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I9224756 |
| authorships[6].affiliations[0].raw_affiliation_string | School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| authorships[6].institutions[0].id | https://openalex.org/I9224756 |
| authorships[6].institutions[0].ror | https://ror.org/03awzbc87 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I9224756 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | Northeastern University |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Zhaonan Lin |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/2079-9292/12/23/4720/pdf?version=1700556019 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Multi-Object Tracking Approach Combining Contextual Features and Trajectory Prediction |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10331 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Video Surveillance and Tracking Methods |
| related_works | https://openalex.org/W4323768008, https://openalex.org/W3131574667, https://openalex.org/W4248382324, https://openalex.org/W4360995134, https://openalex.org/W2039473718, https://openalex.org/W2387529410, https://openalex.org/W3023605104, https://openalex.org/W2383578611, https://openalex.org/W2987583674, https://openalex.org/W1145361078 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 2 |
| best_oa_location.id | doi:10.3390/electronics12234720 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210202905 |
| best_oa_location.source.issn | 2079-9292 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2079-9292 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Electronics |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/2079-9292/12/23/4720/pdf?version=1700556019 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Electronics |
| best_oa_location.landing_page_url | https://doi.org/10.3390/electronics12234720 |
| primary_location.id | doi:10.3390/electronics12234720 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210202905 |
| primary_location.source.issn | 2079-9292 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2079-9292 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Electronics |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2079-9292/12/23/4720/pdf?version=1700556019 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Electronics |
| primary_location.landing_page_url | https://doi.org/10.3390/electronics12234720 |
| publication_date | 2023-11-21 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2155680787, https://openalex.org/W3116469262, https://openalex.org/W3174690341, https://openalex.org/W3176403636, https://openalex.org/W4313639548, https://openalex.org/W4211032236, https://openalex.org/W3152893301, https://openalex.org/W2907492528, https://openalex.org/W3084173793, https://openalex.org/W3106763294, https://openalex.org/W3088911150, https://openalex.org/W2953920664, https://openalex.org/W2962719749, https://openalex.org/W3207452968, https://openalex.org/W1964846093, https://openalex.org/W2794210977, https://openalex.org/W3003490096, https://openalex.org/W4312473433, https://openalex.org/W6767432440, https://openalex.org/W3086436251, https://openalex.org/W3004548546, https://openalex.org/W4286904999, https://openalex.org/W4385737295, https://openalex.org/W4386779521, https://openalex.org/W2921601546, https://openalex.org/W4386007950, https://openalex.org/W3104778224 |
| referenced_works_count | 27 |
| abstract_inverted_index.A | 101 |
| abstract_inverted_index.a | 17, 79 |
| abstract_inverted_index.In | 67 |
| abstract_inverted_index.as | 89, 97 |
| abstract_inverted_index.by | 84 |
| abstract_inverted_index.in | 14, 110, 175 |
| abstract_inverted_index.is | 27, 82, 104, 137, 153 |
| abstract_inverted_index.of | 5, 9, 37, 74, 118, 122, 130 |
| abstract_inverted_index.on | 115, 144 |
| abstract_inverted_index.to | 1, 69, 106, 126, 160 |
| abstract_inverted_index.The | 39, 167 |
| abstract_inverted_index.and | 24, 34, 48, 57, 93, 125 |
| abstract_inverted_index.are | 42, 52, 61 |
| abstract_inverted_index.can | 178 |
| abstract_inverted_index.for | 45, 64, 155 |
| abstract_inverted_index.its | 94 |
| abstract_inverted_index.the | 3, 6, 32, 49, 72, 86, 90, 98, 111, 116, 119, 123, 128, 140, 145, 150, 156, 162, 172, 180 |
| abstract_inverted_index.This | 29 |
| abstract_inverted_index.from | 149 |
| abstract_inverted_index.into | 54 |
| abstract_inverted_index.node | 92 |
| abstract_inverted_index.real | 15 |
| abstract_inverted_index.show | 170 |
| abstract_inverted_index.that | 171 |
| abstract_inverted_index.this | 176 |
| abstract_inverted_index.used | 44, 63 |
| abstract_inverted_index.with | 11, 76, 132 |
| abstract_inverted_index.MOTA. | 182 |
| abstract_inverted_index.based | 114, 143 |
| abstract_inverted_index.final | 163 |
| abstract_inverted_index.graph | 81, 112 |
| abstract_inverted_index.model | 113 |
| abstract_inverted_index.order | 68 |
| abstract_inverted_index.paper | 177 |
| abstract_inverted_index.solve | 2 |
| abstract_inverted_index.speed | 117 |
| abstract_inverted_index.using | 139 |
| abstract_inverted_index.which | 60 |
| abstract_inverted_index.Aiming | 0 |
| abstract_inverted_index.branch | 99 |
| abstract_inverted_index.frames | 159 |
| abstract_inverted_index.mainly | 43, 62 |
| abstract_inverted_index.master | 91 |
| abstract_inverted_index.matrix | 147 |
| abstract_inverted_index.module | 103 |
| abstract_inverted_index.motion | 33, 40 |
| abstract_inverted_index.nodes. | 100 |
| abstract_inverted_index.object | 88, 164 |
| abstract_inverted_index.obtain | 161 |
| abstract_inverted_index.taking | 85 |
| abstract_inverted_index.Feature | 135 |
| abstract_inverted_index.achieve | 179 |
| abstract_inverted_index.applied | 105 |
| abstract_inverted_index.context | 80 |
| abstract_inverted_index.divided | 53 |
| abstract_inverted_index.exclude | 107 |
| abstract_inverted_index.highest | 181 |
| abstract_inverted_index.object, | 124 |
| abstract_inverted_index.objects | 10, 75, 96, 131 |
| abstract_inverted_index.problem | 4 |
| abstract_inverted_index.results | 169 |
| abstract_inverted_index.similar | 12, 77, 133 |
| abstract_inverted_index.approach | 20, 30, 173 |
| abstract_inverted_index.features | 23, 36, 41, 51, 56, 129 |
| abstract_inverted_index.identity | 7 |
| abstract_inverted_index.matching | 136, 165 |
| abstract_inverted_index.objects. | 38 |
| abstract_inverted_index.obtained | 148 |
| abstract_inverted_index.proposed | 174 |
| abstract_inverted_index.results. | 166 |
| abstract_inverted_index.tracking | 19 |
| abstract_inverted_index.Hungarian | 141 |
| abstract_inverted_index.combining | 21 |
| abstract_inverted_index.features, | 59 |
| abstract_inverted_index.features. | 151 |
| abstract_inverted_index.matching. | 66 |
| abstract_inverted_index.performed | 138, 154 |
| abstract_inverted_index.proposed. | 28 |
| abstract_inverted_index.specified | 87 |
| abstract_inverted_index.switching | 8 |
| abstract_inverted_index.unmatched | 158 |
| abstract_inverted_index.accurately | 70 |
| abstract_inverted_index.algorithm, | 142 |
| abstract_inverted_index.appearance | 35, 50 |
| abstract_inverted_index.contextual | 22, 55 |
| abstract_inverted_index.historical | 120 |
| abstract_inverted_index.identities | 73 |
| abstract_inverted_index.individual | 58 |
| abstract_inverted_index.integrates | 31 |
| abstract_inverted_index.prediction | 26 |
| abstract_inverted_index.scenarios, | 16 |
| abstract_inverted_index.similarity | 146 |
| abstract_inverted_index.trajectory | 25, 46, 65, 121 |
| abstract_inverted_index.appearances | 13 |
| abstract_inverted_index.connections | 109 |
| abstract_inverted_index.constructed | 83 |
| abstract_inverted_index.distinguish | 71, 127 |
| abstract_inverted_index.neighboring | 95 |
| abstract_inverted_index.prediction, | 47 |
| abstract_inverted_index.temporarily | 157 |
| abstract_inverted_index.unnecessary | 108 |
| abstract_inverted_index.appearances, | 78 |
| abstract_inverted_index.appearances. | 134 |
| abstract_inverted_index.experimental | 168 |
| abstract_inverted_index.multi-object | 18 |
| abstract_inverted_index.preprocessing | 102 |
| abstract_inverted_index.Post-processing | 152 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5023519611 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I9224756 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.5600000023841858 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.58232514 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |