Target Tracking Method Based on Adaptive Structured Sparse Representation With Attention Article Swipe

PDF

Jie Wang , Shibin Xuan , Hao Zhang , Xuyang Qin ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.1109/access.2020.2990410

Considering the problems of motion blur, partial occlusion and fast motion in target tracking, a target tracking method based on adaptive structured sparse representation with attention is proposed. Under the framework of particle filtering, the performance of high-quality templates is enhanced through an attention mechanism. Structure sparseness is used to build candidate target sets and sparse models between candidate samples and local patches of target templates. Combined with the sparse residual method, reconstruction error is reduced. After optimally solving the model, the particle with the highest similarity is selected as the prediction target. The most appropriate scale is selected according to the multiscale factor method. Experiments show that the proposed algorithm has a strong performance when dealing with motion blur, fast motion, partial occlusion.

Related Topics

Computer Science

Motion Blur

Artificial Intelligence

Concepts

Computer science Sparse approximation Motion blur Artificial intelligence Particle filter Tracking (education) Computer vision Representation (politics) Residual Pattern recognition (psychology) Motion (physics) Similarity (geometry) Template Image (mathematics) Algorithm Kalman filter Law Programming language Politics Pedagogy Political science Psychology

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.1109/access.2020.2990410
PDF: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078686.pdf
OA Status: gold
Cited By: 3
References: 53
Related Works: 10
OpenAlex ID: https://openalex.org/W3023043662

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W3023043662

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1109/access.2020.2990410

Digital Object Identifier
Title: Target Tracking Method Based on Adaptive Structured Sparse Representation With Attention

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2020

Year of publication
Publication date: 2020-01-01

Full publication date if available
Authors: Jie Wang, Shibin Xuan, Hao Zhang, Xuyang Qin

List of authors in order
Landing page: https://doi.org/10.1109/access.2020.2990410

Publisher landing page
PDF URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078686.pdf

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: gold

Open access status per OpenAlex
OA URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078686.pdf

Direct OA link when available
Concepts: Computer science, Sparse approximation, Motion blur, Artificial intelligence, Particle filter, Tracking (education), Computer vision, Representation (politics), Residual, Pattern recognition (psychology), Motion (physics), Similarity (geometry), Template, Image (mathematics), Algorithm, Kalman filter, Law, Programming language, Politics, Pedagogy, Political science, Psychology

Top concepts (fields/topics) attached by OpenAlex
Cited by: 3

Total citation count in OpenAlex
Citations by year (recent): 2024: 1, 2023: 2

Per-year citation counts (last 5 years)
References (count): 53

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W3023043662
doi	https://doi.org/10.1109/access.2020.2990410
ids.doi	https://doi.org/10.1109/access.2020.2990410
ids.mag	3023043662
ids.openalex	https://openalex.org/W3023043662
fwci	0.20993464
type	article
title	Target Tracking Method Based on Adaptive Structured Sparse Representation With Attention
awards[0].id	https://openalex.org/G1222602555
awards[0].funder_id	https://openalex.org/F4320321001
awards[0].display_name
awards[0].funder_award_id	61866003
awards[0].funder_display_name	National Natural Science Foundation of China
biblio.issue
biblio.volume	8
biblio.last_page	79427
biblio.first_page	79419
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	0.9997000098228455
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/T10531
topics[1].field.id	https://openalex.org/fields/17
topics[1].field.display_name	Computer Science
topics[1].score	0.9958000183105469
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	Advanced Vision and Imaging
topics[2].id	https://openalex.org/T12389
topics[2].field.id	https://openalex.org/fields/22
topics[2].field.display_name	Engineering
topics[2].score	0.9939000010490417
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/2202
topics[2].subfield.display_name	Aerospace Engineering
topics[2].display_name	Infrared Target Detection Methodologies
funders[0].id	https://openalex.org/F4320321001
funders[0].ror	https://ror.org/01h0zpd94
funders[0].display_name	National Natural Science Foundation of China
is_xpac	False
apc_list.value	1850
apc_list.currency	USD
apc_list.value_usd	1850
apc_paid.value	1850
apc_paid.currency	USD
apc_paid.value_usd	1850
concepts[0].id	https://openalex.org/C41008148
concepts[0].level	0
concepts[0].score	0.7355476021766663
concepts[0].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[0].display_name	Computer science
concepts[1].id	https://openalex.org/C124066611
concepts[1].level	2
concepts[1].score	0.735541820526123
concepts[1].wikidata	https://www.wikidata.org/wiki/Q28684319
concepts[1].display_name	Sparse approximation
concepts[2].id	https://openalex.org/C2777708103
concepts[2].level	3
concepts[2].score	0.7309955358505249
concepts[2].wikidata	https://www.wikidata.org/wiki/Q852589
concepts[2].display_name	Motion blur
concepts[3].id	https://openalex.org/C154945302
concepts[3].level	1
concepts[3].score	0.6938347220420837
concepts[3].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[3].display_name	Artificial intelligence
concepts[4].id	https://openalex.org/C52421305
concepts[4].level	3
concepts[4].score	0.628595769405365
concepts[4].wikidata	https://www.wikidata.org/wiki/Q1151499
concepts[4].display_name	Particle filter
concepts[5].id	https://openalex.org/C2775936607
concepts[5].level	2
concepts[5].score	0.6076583862304688
concepts[5].wikidata	https://www.wikidata.org/wiki/Q466845
concepts[5].display_name	Tracking (education)
concepts[6].id	https://openalex.org/C31972630
concepts[6].level	1
concepts[6].score	0.535876989364624
concepts[6].wikidata	https://www.wikidata.org/wiki/Q844240
concepts[6].display_name	Computer vision
concepts[7].id	https://openalex.org/C2776359362
concepts[7].level	3
concepts[7].score	0.5167290568351746
concepts[7].wikidata	https://www.wikidata.org/wiki/Q2145286
concepts[7].display_name	Representation (politics)
concepts[8].id	https://openalex.org/C155512373
concepts[8].level	2
concepts[8].score	0.5055463314056396
concepts[8].wikidata	https://www.wikidata.org/wiki/Q287450
concepts[8].display_name	Residual
concepts[9].id	https://openalex.org/C153180895
concepts[9].level	2
concepts[9].score	0.5006208419799805
concepts[9].wikidata	https://www.wikidata.org/wiki/Q7148389
concepts[9].display_name	Pattern recognition (psychology)
concepts[10].id	https://openalex.org/C104114177
concepts[10].level	2
concepts[10].score	0.47536081075668335
concepts[10].wikidata	https://www.wikidata.org/wiki/Q79782
concepts[10].display_name	Motion (physics)
concepts[11].id	https://openalex.org/C103278499
concepts[11].level	3
concepts[11].score	0.46083077788352966
concepts[11].wikidata	https://www.wikidata.org/wiki/Q254465
concepts[11].display_name	Similarity (geometry)
concepts[12].id	https://openalex.org/C82714645
concepts[12].level	2
concepts[12].score	0.4591485857963562
concepts[12].wikidata	https://www.wikidata.org/wiki/Q438331
concepts[12].display_name	Template
concepts[13].id	https://openalex.org/C115961682
concepts[13].level	2
concepts[13].score	0.2488429844379425
concepts[13].wikidata	https://www.wikidata.org/wiki/Q860623
concepts[13].display_name	Image (mathematics)
concepts[14].id	https://openalex.org/C11413529
concepts[14].level	1
concepts[14].score	0.2369101345539093
concepts[14].wikidata	https://www.wikidata.org/wiki/Q8366
concepts[14].display_name	Algorithm
concepts[15].id	https://openalex.org/C157286648
concepts[15].level	2
concepts[15].score	0.09601941704750061
concepts[15].wikidata	https://www.wikidata.org/wiki/Q846780
concepts[15].display_name	Kalman filter
concepts[16].id	https://openalex.org/C199539241
concepts[16].level	1
concepts[16].score	0.0
concepts[16].wikidata	https://www.wikidata.org/wiki/Q7748
concepts[16].display_name	Law
concepts[17].id	https://openalex.org/C199360897
concepts[17].level	1
concepts[17].score	0.0
concepts[17].wikidata	https://www.wikidata.org/wiki/Q9143
concepts[17].display_name	Programming language
concepts[18].id	https://openalex.org/C94625758
concepts[18].level	2
concepts[18].score	0.0
concepts[18].wikidata	https://www.wikidata.org/wiki/Q7163
concepts[18].display_name	Politics
concepts[19].id	https://openalex.org/C19417346
concepts[19].level	1
concepts[19].score	0.0
concepts[19].wikidata	https://www.wikidata.org/wiki/Q7922
concepts[19].display_name	Pedagogy
concepts[20].id	https://openalex.org/C17744445
concepts[20].level	0
concepts[20].score	0.0
concepts[20].wikidata	https://www.wikidata.org/wiki/Q36442
concepts[20].display_name	Political science
concepts[21].id	https://openalex.org/C15744967
concepts[21].level	0
concepts[21].score	0.0
concepts[21].wikidata	https://www.wikidata.org/wiki/Q9418
concepts[21].display_name	Psychology
keywords[0].id	https://openalex.org/keywords/computer-science
keywords[0].score	0.7355476021766663
keywords[0].display_name	Computer science
keywords[1].id	https://openalex.org/keywords/sparse-approximation
keywords[1].score	0.735541820526123
keywords[1].display_name	Sparse approximation
keywords[2].id	https://openalex.org/keywords/motion-blur
keywords[2].score	0.7309955358505249
keywords[2].display_name	Motion blur
keywords[3].id	https://openalex.org/keywords/artificial-intelligence
keywords[3].score	0.6938347220420837
keywords[3].display_name	Artificial intelligence
keywords[4].id	https://openalex.org/keywords/particle-filter
keywords[4].score	0.628595769405365
keywords[4].display_name	Particle filter
keywords[5].id	https://openalex.org/keywords/tracking
keywords[5].score	0.6076583862304688
keywords[5].display_name	Tracking (education)
keywords[6].id	https://openalex.org/keywords/computer-vision
keywords[6].score	0.535876989364624
keywords[6].display_name	Computer vision
keywords[7].id	https://openalex.org/keywords/representation
keywords[7].score	0.5167290568351746
keywords[7].display_name	Representation (politics)
keywords[8].id	https://openalex.org/keywords/residual
keywords[8].score	0.5055463314056396
keywords[8].display_name	Residual
keywords[9].id	https://openalex.org/keywords/pattern-recognition
keywords[9].score	0.5006208419799805
keywords[9].display_name	Pattern recognition (psychology)
keywords[10].id	https://openalex.org/keywords/motion
keywords[10].score	0.47536081075668335
keywords[10].display_name	Motion (physics)
keywords[11].id	https://openalex.org/keywords/similarity
keywords[11].score	0.46083077788352966
keywords[11].display_name	Similarity (geometry)
keywords[12].id	https://openalex.org/keywords/template
keywords[12].score	0.4591485857963562
keywords[12].display_name	Template
keywords[13].id	https://openalex.org/keywords/image
keywords[13].score	0.2488429844379425
keywords[13].display_name	Image (mathematics)
keywords[14].id	https://openalex.org/keywords/algorithm
keywords[14].score	0.2369101345539093
keywords[14].display_name	Algorithm
keywords[15].id	https://openalex.org/keywords/kalman-filter
keywords[15].score	0.09601941704750061
keywords[15].display_name	Kalman filter
language	en
locations[0].id	doi:10.1109/access.2020.2990410
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S2485537415
locations[0].source.issn	2169-3536
locations[0].source.type	journal
locations[0].source.is_oa	True
locations[0].source.issn_l	2169-3536
locations[0].source.is_core	True
locations[0].source.is_in_doaj	True
locations[0].source.display_name	IEEE Access
locations[0].source.host_organization	https://openalex.org/P4310319808
locations[0].source.host_organization_name	Institute of Electrical and Electronics Engineers
locations[0].source.host_organization_lineage	https://openalex.org/P4310319808
locations[0].source.host_organization_lineage_names	Institute of Electrical and Electronics Engineers
locations[0].license	cc-by
locations[0].pdf_url	https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078686.pdf
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	IEEE Access
locations[0].landing_page_url	https://doi.org/10.1109/access.2020.2990410
locations[1].id	pmh:oai:doaj.org/article:a1ffd79852644134bd5fcd8fc69c0f51
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306401280
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	False
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	DOAJ (DOAJ: Directory of Open Access Journals)
locations[1].source.host_organization
locations[1].source.host_organization_name
locations[1].license	cc-by-sa
locations[1].pdf_url
locations[1].version	submittedVersion
locations[1].raw_type	article
locations[1].license_id	https://openalex.org/licenses/cc-by-sa
locations[1].is_accepted	False
locations[1].is_published	False
locations[1].raw_source_name	IEEE Access, Vol 8, Pp 79419-79427 (2020)
locations[1].landing_page_url	https://doaj.org/article/a1ffd79852644134bd5fcd8fc69c0f51
indexed_in	crossref, doaj
authorships[0].author.id	https://openalex.org/A5100772693
authorships[0].author.orcid	https://orcid.org/0000-0002-5896-5396
authorships[0].author.display_name	Jie Wang
authorships[0].countries	CN
authorships[0].affiliations[0].institution_ids	https://openalex.org/I167274908
authorships[0].affiliations[0].raw_affiliation_string	School of Artificial Intelligence, Guangxi University for Nationalities, Nanning, China
authorships[0].institutions[0].id	https://openalex.org/I167274908
authorships[0].institutions[0].ror	https://ror.org/0495efn48
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I167274908
authorships[0].institutions[0].country_code	CN
authorships[0].institutions[0].display_name	Guangxi University for Nationalities
authorships[0].author_position	first
authorships[0].raw_author_name	Jie Wang
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	School of Artificial Intelligence, Guangxi University for Nationalities, Nanning, China
authorships[1].author.id	https://openalex.org/A5028472518
authorships[1].author.orcid	https://orcid.org/0000-0002-0819-9216
authorships[1].author.display_name	Shibin Xuan
authorships[1].countries	CN
authorships[1].affiliations[0].institution_ids	https://openalex.org/I167274908
authorships[1].affiliations[0].raw_affiliation_string	School of Artificial Intelligence, Guangxi University for Nationalities, Nanning, China
authorships[1].institutions[0].id	https://openalex.org/I167274908
authorships[1].institutions[0].ror	https://ror.org/0495efn48
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I167274908
authorships[1].institutions[0].country_code	CN
authorships[1].institutions[0].display_name	Guangxi University for Nationalities
authorships[1].author_position	middle
authorships[1].raw_author_name	Shibin Xuan
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	School of Artificial Intelligence, Guangxi University for Nationalities, Nanning, China
authorships[2].author.id	https://openalex.org/A5100396844
authorships[2].author.orcid	https://orcid.org/0000-0002-0404-6941
authorships[2].author.display_name	Hao Zhang
authorships[2].countries	CN
authorships[2].affiliations[0].institution_ids	https://openalex.org/I167274908
authorships[2].affiliations[0].raw_affiliation_string	School of Artificial Intelligence, Guangxi University for Nationalities, Nanning, China
authorships[2].institutions[0].id	https://openalex.org/I167274908
authorships[2].institutions[0].ror	https://ror.org/0495efn48
authorships[2].institutions[0].type	education
authorships[2].institutions[0].lineage	https://openalex.org/I167274908
authorships[2].institutions[0].country_code	CN
authorships[2].institutions[0].display_name	Guangxi University for Nationalities
authorships[2].author_position	middle
authorships[2].raw_author_name	Hao Zhang
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	School of Artificial Intelligence, Guangxi University for Nationalities, Nanning, China
authorships[3].author.id	https://openalex.org/A5079221681
authorships[3].author.orcid	https://orcid.org/0000-0003-1921-4423
authorships[3].author.display_name	Xuyang Qin
authorships[3].countries	CN
authorships[3].affiliations[0].institution_ids	https://openalex.org/I167274908
authorships[3].affiliations[0].raw_affiliation_string	School of Artificial Intelligence, Guangxi University for Nationalities, Nanning, China
authorships[3].institutions[0].id	https://openalex.org/I167274908
authorships[3].institutions[0].ror	https://ror.org/0495efn48
authorships[3].institutions[0].type	education
authorships[3].institutions[0].lineage	https://openalex.org/I167274908
authorships[3].institutions[0].country_code	CN
authorships[3].institutions[0].display_name	Guangxi University for Nationalities
authorships[3].author_position	last
authorships[3].raw_author_name	Xuyang Qin
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	School of Artificial Intelligence, Guangxi University for Nationalities, Nanning, China
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078686.pdf
open_access.oa_status	gold
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Target Tracking Method Based on Adaptive Structured Sparse Representation With Attention
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	0.9997000098228455
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/W2121300814, https://openalex.org/W4231091074, https://openalex.org/W1886613375, https://openalex.org/W4236081792, https://openalex.org/W4250583430, https://openalex.org/W4234406076, https://openalex.org/W2010731026, https://openalex.org/W4311328601, https://openalex.org/W2360893094, https://openalex.org/W4390787808
cited_by_count	3
counts_by_year[0].year	2024
counts_by_year[0].cited_by_count	1
counts_by_year[1].year	2023
counts_by_year[1].cited_by_count	2
locations_count	2
best_oa_location.id	doi:10.1109/access.2020.2990410
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S2485537415
best_oa_location.source.issn	2169-3536
best_oa_location.source.type	journal
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	2169-3536
best_oa_location.source.is_core	True
best_oa_location.source.is_in_doaj	True
best_oa_location.source.display_name	IEEE Access
best_oa_location.source.host_organization	https://openalex.org/P4310319808
best_oa_location.source.host_organization_name	Institute of Electrical and Electronics Engineers
best_oa_location.source.host_organization_lineage	https://openalex.org/P4310319808
best_oa_location.source.host_organization_lineage_names	Institute of Electrical and Electronics Engineers
best_oa_location.license	cc-by
best_oa_location.pdf_url	https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078686.pdf
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	IEEE Access
best_oa_location.landing_page_url	https://doi.org/10.1109/access.2020.2990410
primary_location.id	doi:10.1109/access.2020.2990410
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S2485537415
primary_location.source.issn	2169-3536
primary_location.source.type	journal
primary_location.source.is_oa	True
primary_location.source.issn_l	2169-3536
primary_location.source.is_core	True
primary_location.source.is_in_doaj	True
primary_location.source.display_name	IEEE Access
primary_location.source.host_organization	https://openalex.org/P4310319808
primary_location.source.host_organization_name	Institute of Electrical and Electronics Engineers
primary_location.source.host_organization_lineage	https://openalex.org/P4310319808
primary_location.source.host_organization_lineage_names	Institute of Electrical and Electronics Engineers
primary_location.license	cc-by
primary_location.pdf_url	https://ieeexplore.ieee.org/ielx7/6287639/8948470/09078686.pdf
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	IEEE Access
primary_location.landing_page_url	https://doi.org/10.1109/access.2020.2990410
publication_date	2020-01-01
publication_year	2020
referenced_works	https://openalex.org/W2520477759, https://openalex.org/W2091563134, https://openalex.org/W2970449295, https://openalex.org/W2794109133, https://openalex.org/W2799058067, https://openalex.org/W2907380275, https://openalex.org/W2917798885, https://openalex.org/W2920691328, https://openalex.org/W2781785541, https://openalex.org/W2984839472, https://openalex.org/W2951747595, https://openalex.org/W2896356967, https://openalex.org/W2904713931, https://openalex.org/W6696499268, https://openalex.org/W1995903777, https://openalex.org/W1960880753, https://openalex.org/W1560733133, https://openalex.org/W6683636472, https://openalex.org/W2784375960, https://openalex.org/W6683886257, https://openalex.org/W2963328866, https://openalex.org/W1981219153, https://openalex.org/W3002815228, https://openalex.org/W2908414126, https://openalex.org/W2983787009, https://openalex.org/W2336911562, https://openalex.org/W2071551242, https://openalex.org/W1997121481, https://openalex.org/W2159128898, https://openalex.org/W2067191022, https://openalex.org/W2125907508, https://openalex.org/W2151693816, https://openalex.org/W2002406878, https://openalex.org/W2113577207, https://openalex.org/W2912617607, https://openalex.org/W1985560977, https://openalex.org/W1964846093, https://openalex.org/W2768166594, https://openalex.org/W2154889144, https://openalex.org/W2994367838, https://openalex.org/W2470394683, https://openalex.org/W2605524950, https://openalex.org/W2612893250, https://openalex.org/W2568078565, https://openalex.org/W2802896860, https://openalex.org/W2965887353, https://openalex.org/W3001222093, https://openalex.org/W2999814961, https://openalex.org/W2972433461, https://openalex.org/W2289255337, https://openalex.org/W2118097920, https://openalex.org/W2162383208, https://openalex.org/W2158917775
referenced_works_count	53
abstract_inverted_index.a	14, 112
abstract_inverted_index.an	42
abstract_inverted_index.as	89
abstract_inverted_index.in	11
abstract_inverted_index.is	26, 39, 47, 74, 87, 97
abstract_inverted_index.of	3, 31, 36, 63
abstract_inverted_index.on	19
abstract_inverted_index.to	49, 100
abstract_inverted_index.The	93
abstract_inverted_index.and	8, 54, 60
abstract_inverted_index.has	111
abstract_inverted_index.the	1, 29, 34, 68, 79, 81, 84, 90, 101, 108
abstract_inverted_index.fast	9, 120
abstract_inverted_index.most	94
abstract_inverted_index.sets	53
abstract_inverted_index.show	106
abstract_inverted_index.that	107
abstract_inverted_index.used	48
abstract_inverted_index.when	115
abstract_inverted_index.with	24, 67, 83, 117
abstract_inverted_index.After	76
abstract_inverted_index.Under	28
abstract_inverted_index.based	18
abstract_inverted_index.blur,	5, 119
abstract_inverted_index.build	50
abstract_inverted_index.error	73
abstract_inverted_index.local	61
abstract_inverted_index.scale	96
abstract_inverted_index.factor	103
abstract_inverted_index.method	17
abstract_inverted_index.model,	80
abstract_inverted_index.models	56
abstract_inverted_index.motion	4, 10, 118
abstract_inverted_index.sparse	22, 55, 69
abstract_inverted_index.strong	113
abstract_inverted_index.target	12, 15, 52, 64
abstract_inverted_index.between	57
abstract_inverted_index.dealing	116
abstract_inverted_index.highest	85
abstract_inverted_index.method,	71
abstract_inverted_index.method.	104
abstract_inverted_index.motion,	121
abstract_inverted_index.partial	6, 122
abstract_inverted_index.patches	62
abstract_inverted_index.samples	59
abstract_inverted_index.solving	78
abstract_inverted_index.target.	92
abstract_inverted_index.through	41
abstract_inverted_index.Combined	66
abstract_inverted_index.adaptive	20
abstract_inverted_index.enhanced	40
abstract_inverted_index.particle	32, 82
abstract_inverted_index.problems	2
abstract_inverted_index.proposed	109
abstract_inverted_index.reduced.	75
abstract_inverted_index.residual	70
abstract_inverted_index.selected	88, 98
abstract_inverted_index.tracking	16
abstract_inverted_index.Structure	45
abstract_inverted_index.according	99
abstract_inverted_index.algorithm	110
abstract_inverted_index.attention	25, 43
abstract_inverted_index.candidate	51, 58
abstract_inverted_index.framework	30
abstract_inverted_index.occlusion	7
abstract_inverted_index.optimally	77
abstract_inverted_index.proposed.	27
abstract_inverted_index.templates	38
abstract_inverted_index.tracking,	13
abstract_inverted_index.filtering,	33
abstract_inverted_index.mechanism.	44
abstract_inverted_index.multiscale	102
abstract_inverted_index.occlusion.	123
abstract_inverted_index.prediction	91
abstract_inverted_index.similarity	86
abstract_inverted_index.sparseness	46
abstract_inverted_index.structured	21
abstract_inverted_index.templates.	65
abstract_inverted_index.Considering	0
abstract_inverted_index.Experiments	105
abstract_inverted_index.appropriate	95
abstract_inverted_index.performance	35, 114
abstract_inverted_index.high-quality	37
abstract_inverted_index.reconstruction	72
abstract_inverted_index.representation	23
cited_by_percentile_year.max	96
cited_by_percentile_year.min	90
countries_distinct_count	1
institutions_distinct_count	4
citation_normalized_percentile.value	0.49321499
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False