Real-time multiple objects tracking with occlusion handling in dynamic scenes

Tao Yang; Stan Z. Li; Quan Pan; Jing Li

doi:10.1109/cvpr.2005.292

Real-time multiple objects tracking with occlusion handling in dynamic scenes

Tao Yang, Stan Z. Li, Quan Pan, Jing Li

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

206 Scopus citations

Abstract

This work presents a real-time system for multiple objects tracking in dynamic scenes. A unique characteristic of the system is its ability to cope with longduration and complete occlusion without a prior knowledge about the shape or motion of objects. The system produces good segment and tracking results at a frame rate of 15-20 fps for image size of 320x240, as demonstrated by extensive experiments performed using video sequences under different conditions indoor and outdoor with long-duration and complete occlusions in changing background.

Original language	English
Title of host publication	Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
Publisher	IEEE Computer Society
Pages	970-975
Number of pages	6
ISBN (Print)	0769523722, 9780769523729
DOIs	https://doi.org/10.1109/cvpr.2005.292
State	Published - 2005
Event	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - San Diego, CA, United States Duration: 20 Jun 2005 → 25 Jun 2005

Publication series

Name	Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
Volume	I

Conference

Conference	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
Country/Territory	United States
City	San Diego, CA
Period	20/06/05 → 25/06/05

Access to Document

10.1109/cvpr.2005.292

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Yang, T., Li, S. Z., Pan, Q., & Li, J. (2005). Real-time multiple objects tracking with occlusion handling in dynamic scenes. In Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 (pp. 970-975). Article 1467371 (Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005; Vol. I). IEEE Computer Society. https://doi.org/10.1109/cvpr.2005.292

Yang, Tao ; Li, Stan Z. ; Pan, Quan et al. / Real-time multiple objects tracking with occlusion handling in dynamic scenes. Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005. IEEE Computer Society, 2005. pp. 970-975 (Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005).

@inproceedings{f87b1d2136de4d7ba9256253078e5896,

title = "Real-time multiple objects tracking with occlusion handling in dynamic scenes",

abstract = "This work presents a real-time system for multiple objects tracking in dynamic scenes. A unique characteristic of the system is its ability to cope with longduration and complete occlusion without a prior knowledge about the shape or motion of objects. The system produces good segment and tracking results at a frame rate of 15-20 fps for image size of 320x240, as demonstrated by extensive experiments performed using video sequences under different conditions indoor and outdoor with long-duration and complete occlusions in changing background.",

author = "Tao Yang and Li, {Stan Z.} and Quan Pan and Jing Li",

year = "2005",

doi = "10.1109/cvpr.2005.292",

language = "英语",

isbn = "0769523722",

series = "Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005",

publisher = "IEEE Computer Society",

pages = "970--975",

booktitle = "Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005",

note = "2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 ; Conference date: 20-06-2005 Through 25-06-2005",

}

Yang, T, Li, SZ, Pan, Q & Li, J 2005, Real-time multiple objects tracking with occlusion handling in dynamic scenes. in Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005., 1467371, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. I, IEEE Computer Society, pp. 970-975, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, San Diego, CA, United States, 20/06/05. https://doi.org/10.1109/cvpr.2005.292

Real-time multiple objects tracking with occlusion handling in dynamic scenes. / Yang, Tao; Li, Stan Z.; Pan, Quan et al.
Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005. IEEE Computer Society, 2005. p. 970-975 1467371 (Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005; Vol. I).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This work presents a real-time system for multiple objects tracking in dynamic scenes. A unique characteristic of the system is its ability to cope with longduration and complete occlusion without a prior knowledge about the shape or motion of objects. The system produces good segment and tracking results at a frame rate of 15-20 fps for image size of 320x240, as demonstrated by extensive experiments performed using video sequences under different conditions indoor and outdoor with long-duration and complete occlusions in changing background.

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Yang T, Li SZ, Pan Q, Li J. Real-time multiple objects tracking with occlusion handling in dynamic scenes. In Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005. IEEE Computer Society. 2005. p. 970-975. 1467371. (Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005). doi: 10.1109/cvpr.2005.292

Real-time multiple objects tracking with occlusion handling in dynamic scenes

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