Robust Object Tracking with Mutualism between Particle Filter and Geometric Active Contour Article Swipe
Lei Sun
,
Sun’an Wang
,
Jinhua Zhang
,
Xiaohu Li
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.14257/ijsip.2015.8.12.31
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.14257/ijsip.2015.8.12.31
Robust object tracking is important in many real applications.This study proposes a novel robust object tracking algorithm that combines particle filter and geometric active contour.In contrast to conventional combinations, the proposed algorithm establishes mutualism, wherein the particle filter provides curve initialization for the active contour by using the alpha shape algorithm, and the active contour provides evolved boundary for particle filter classification.The refined particles are used to estimate the states which reduce the distance error.Discriminable object feature is proposed to enhance the tracking robustness, and prior information-based curve evolution is used to improve the accuracy of boundary segmentation.Comparable experiments are performed using a stand particle filter and continuously adaptive mean-shift methods.The proposed algorithm is found to be highly robust for long video sequences with non-linear motion, scale changes and clutter background.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.14257/ijsip.2015.8.12.31
- https://doi.org/10.14257/ijsip.2015.8.12.31
- OA Status
- bronze
- Cited By
- 1
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2553125629
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2553125629Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.14257/ijsip.2015.8.12.31Digital Object Identifier
- Title
-
Robust Object Tracking with Mutualism between Particle Filter and Geometric Active ContourWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-12-31Full publication date if available
- Authors
-
Lei Sun, Sun’an Wang, Jinhua Zhang, Xiaohu LiList of authors in order
- Landing page
-
https://doi.org/10.14257/ijsip.2015.8.12.31Publisher landing page
- PDF URL
-
https://doi.org/10.14257/ijsip.2015.8.12.31Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.14257/ijsip.2015.8.12.31Direct OA link when available
- Concepts
-
Computer vision, Particle filter, Video tracking, Tracking (education), Artificial intelligence, Computer science, Object (grammar), Mutualism (biology), Mathematics, Filter (signal processing), Psychology, Biology, Pedagogy, EcologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2018: 1Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.which | 70 |
| abstract_inverted_index.Robust | 0 |
| abstract_inverted_index.active | 23, 43, 53 |
| abstract_inverted_index.filter | 20, 37, 60, 105 |
| abstract_inverted_index.highly | 117 |
| abstract_inverted_index.object | 1, 14, 75 |
| abstract_inverted_index.reduce | 71 |
| abstract_inverted_index.robust | 13, 118 |
| abstract_inverted_index.states | 69 |
| abstract_inverted_index.changes | 127 |
| abstract_inverted_index.clutter | 129 |
| abstract_inverted_index.contour | 44, 54 |
| abstract_inverted_index.enhance | 80 |
| abstract_inverted_index.evolved | 56 |
| abstract_inverted_index.feature | 76 |
| abstract_inverted_index.improve | 92 |
| abstract_inverted_index.motion, | 125 |
| abstract_inverted_index.refined | 62 |
| abstract_inverted_index.wherein | 34 |
| abstract_inverted_index.accuracy | 94 |
| abstract_inverted_index.adaptive | 108 |
| abstract_inverted_index.boundary | 57, 96 |
| abstract_inverted_index.combines | 18 |
| abstract_inverted_index.contrast | 25 |
| abstract_inverted_index.distance | 73 |
| abstract_inverted_index.estimate | 67 |
| abstract_inverted_index.particle | 19, 36, 59, 104 |
| abstract_inverted_index.proposed | 30, 78, 111 |
| abstract_inverted_index.proposes | 10 |
| abstract_inverted_index.provides | 38, 55 |
| abstract_inverted_index.tracking | 2, 15, 82 |
| abstract_inverted_index.algorithm | 16, 31, 112 |
| abstract_inverted_index.evolution | 88 |
| abstract_inverted_index.geometric | 22 |
| abstract_inverted_index.important | 4 |
| abstract_inverted_index.particles | 63 |
| abstract_inverted_index.performed | 100 |
| abstract_inverted_index.sequences | 122 |
| abstract_inverted_index.algorithm, | 50 |
| abstract_inverted_index.contour.In | 24 |
| abstract_inverted_index.mean-shift | 109 |
| abstract_inverted_index.mutualism, | 33 |
| abstract_inverted_index.non-linear | 124 |
| abstract_inverted_index.background. | 130 |
| abstract_inverted_index.establishes | 32 |
| abstract_inverted_index.experiments | 98 |
| abstract_inverted_index.methods.The | 110 |
| abstract_inverted_index.robustness, | 83 |
| abstract_inverted_index.continuously | 107 |
| abstract_inverted_index.conventional | 27 |
| abstract_inverted_index.combinations, | 28 |
| abstract_inverted_index.initialization | 40 |
| abstract_inverted_index.applications.This | 8 |
| abstract_inverted_index.information-based | 86 |
| abstract_inverted_index.classification.The | 61 |
| abstract_inverted_index.error.Discriminable | 74 |
| abstract_inverted_index.segmentation.Comparable | 97 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5063733571 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I87445476 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.65611894 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |