An Anti-occlusion and Scale Adaptive Kernel Correlation Filter for Visual Object Tracking Article Swipe
Yingping Huang
,
Chao Ju
,
Xing Hu
,
Wenyan Ci
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3837/tiis.2019.04.020
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3837/tiis.2019.04.020
Focusing on the issue that the conventional Kernel Correlation Filter (KCF) algorithm has poor performance in handling scale change and obscured objects, this paper proposes an anti-occlusion and scale adaptive tracking algorithm in the basis of KCF.The average Peak-to Correlation Energy and the peak value of correlation filtering response are used as the confidence indexes to determine whether the target is obscured.In the case of non-occlusion, we modify the searching scheme of the KCF.Instead of searching for a target with a fixed sample size, we search for the target area with multiple scales and then resize it into the sample size to compare with the learnt model.The scale factor with the maximum filter response is the best target scaling and is updated as the optimal scale for the following tracking.Once occlusion is detected, the model updating and scale updating are stopped.Experiments have been conducted on the OTB benchmark video sequences for compassion with other state-of-the-art tracking methods.The results demonstrate the proposed method can effectively improve the tracking success rate and the accuracy in the cases of scale change and occlusion, and meanwhile ensure a real-time performance.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3837/tiis.2019.04.020
- http://itiis.org/digital-library/manuscript/file/22078/TIISVol13No4-20.pdf
- OA Status
- diamond
- Cited By
- 4
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2946925176
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2946925176Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3837/tiis.2019.04.020Digital Object Identifier
- Title
-
An Anti-occlusion and Scale Adaptive Kernel Correlation Filter for Visual Object TrackingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-04-30Full publication date if available
- Authors
-
Yingping Huang, Chao Ju, Xing Hu, Wenyan CiList of authors in order
- Landing page
-
https://doi.org/10.3837/tiis.2019.04.020Publisher landing page
- PDF URL
-
https://itiis.org/digital-library/manuscript/file/22078/TIISVol13No4-20.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://itiis.org/digital-library/manuscript/file/22078/TIISVol13No4-20.pdfDirect OA link when available
- Concepts
-
Computer science, Computer vision, Artificial intelligence, Video tracking, Object (grammar), Kernel (algebra), Scale (ratio), Eye tracking, Tracking (education), Correlation, Mathematics, Geometry, Combinatorics, Psychology, Pedagogy, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2022: 1, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W6675197054, https://openalex.org/W1964846093, https://openalex.org/W161114242, https://openalex.org/W2154889144, https://openalex.org/W818325216, https://openalex.org/W1997121481, https://openalex.org/W6727158897, https://openalex.org/W2537915840, https://openalex.org/W1974961874, https://openalex.org/W1908905119, https://openalex.org/W6640929031, https://openalex.org/W2536512611, https://openalex.org/W2597397952, https://openalex.org/W2558899534, https://openalex.org/W6673240527, https://openalex.org/W2520477759, https://openalex.org/W2089961441, https://openalex.org/W2962864296, https://openalex.org/W2098941887, https://openalex.org/W1955514522, https://openalex.org/W2124211486 |
| referenced_works_count | 21 |
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