Robust visual tracking based on occlusion detection and particle redistribution

Shengping Zhang; Junpeng Wu; Yuan Tian; Shaohui Liu; Xin Sun

doi:10.1145/1937728.1937766

Robust visual tracking based on occlusion detection and particle redistribution

Shengping Zhang^*
, Junpeng Wu
, Yuan Tian
, Shaohui Liu
, Xin Sun

^*Corresponding author for this work

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

4 Scopus citations

Abstract

Occlusion inference is an extremely difficult problem in visual tracking, especially when the target is occluded fully. In this paper, we proposed a novel visual tracking algorithm to solve this problem, which is based on occlusion edge detection and particle redistribution. Firstly, it judges whether there is occlusion or not. Then if the target happen to be occluded, the occlusion edge is able to be detected. Finally particles are assigned to redistribute around the occlusion edge. Once the target appears again from occlusion, the tracker could capture the target at the same moment. The algorithm could make tracking appeared objects or part of objects occurring in any frame. Experimental results verified that the proposed method outperforms traditional particle filter tracker.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10
Pages	159-162
Number of pages	4
DOIs	https://doi.org/10.1145/1937728.1937766
State	Published - 2010
Externally published	Yes
Event	2nd International Conference on Internet Multimedia Computing and Service, ICIMCS 2010 - Harbin, China Duration: 30 Dec 2010 → 31 Dec 2010

Publication series

Name	Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10

Conference

Conference	2nd International Conference on Internet Multimedia Computing and Service, ICIMCS 2010
Country/Territory	China
City	Harbin
Period	30/12/10 → 31/12/10

Keywords

Occlusion
Region growth
Visual tracking

Access to Document

10.1145/1937728.1937766

Cite this

Zhang, S., Wu, J., Tian, Y., Liu, S., & Sun, X. (2010). Robust visual tracking based on occlusion detection and particle redistribution. In Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10 (pp. 159-162). (Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10). https://doi.org/10.1145/1937728.1937766

@inproceedings{8f16508a92f94ff18bd7a7cb53c71b00,

title = "Robust visual tracking based on occlusion detection and particle redistribution",

abstract = "Occlusion inference is an extremely difficult problem in visual tracking, especially when the target is occluded fully. In this paper, we proposed a novel visual tracking algorithm to solve this problem, which is based on occlusion edge detection and particle redistribution. Firstly, it judges whether there is occlusion or not. Then if the target happen to be occluded, the occlusion edge is able to be detected. Finally particles are assigned to redistribute around the occlusion edge. Once the target appears again from occlusion, the tracker could capture the target at the same moment. The algorithm could make tracking appeared objects or part of objects occurring in any frame. Experimental results verified that the proposed method outperforms traditional particle filter tracker.",

keywords = "Occlusion, Region growth, Visual tracking",

author = "Shengping Zhang and Junpeng Wu and Yuan Tian and Shaohui Liu and Xin Sun",

year = "2010",

doi = "10.1145/1937728.1937766",

language = "英语",

isbn = "9781450304603",

series = "Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10",

pages = "159--162",

booktitle = "Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10",

note = "2nd International Conference on Internet Multimedia Computing and Service, ICIMCS 2010 ; Conference date: 30-12-2010 Through 31-12-2010",

}

Zhang, S, Wu, J, Tian, Y, Liu, S & Sun, X 2010, Robust visual tracking based on occlusion detection and particle redistribution. in Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10. Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10, pp. 159-162, 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS 2010, Harbin, China, 30/12/10. https://doi.org/10.1145/1937728.1937766

Robust visual tracking based on occlusion detection and particle redistribution. / Zhang, Shengping; Wu, Junpeng; Tian, Yuan et al.
Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10. 2010. p. 159-162 (Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10).

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

TY - GEN

T1 - Robust visual tracking based on occlusion detection and particle redistribution

AU - Zhang, Shengping

AU - Wu, Junpeng

AU - Tian, Yuan

AU - Liu, Shaohui

AU - Sun, Xin

PY - 2010

Y1 - 2010

N2 - Occlusion inference is an extremely difficult problem in visual tracking, especially when the target is occluded fully. In this paper, we proposed a novel visual tracking algorithm to solve this problem, which is based on occlusion edge detection and particle redistribution. Firstly, it judges whether there is occlusion or not. Then if the target happen to be occluded, the occlusion edge is able to be detected. Finally particles are assigned to redistribute around the occlusion edge. Once the target appears again from occlusion, the tracker could capture the target at the same moment. The algorithm could make tracking appeared objects or part of objects occurring in any frame. Experimental results verified that the proposed method outperforms traditional particle filter tracker.

AB - Occlusion inference is an extremely difficult problem in visual tracking, especially when the target is occluded fully. In this paper, we proposed a novel visual tracking algorithm to solve this problem, which is based on occlusion edge detection and particle redistribution. Firstly, it judges whether there is occlusion or not. Then if the target happen to be occluded, the occlusion edge is able to be detected. Finally particles are assigned to redistribute around the occlusion edge. Once the target appears again from occlusion, the tracker could capture the target at the same moment. The algorithm could make tracking appeared objects or part of objects occurring in any frame. Experimental results verified that the proposed method outperforms traditional particle filter tracker.

KW - Occlusion

KW - Region growth

KW - Visual tracking

UR - https://www.scopus.com/pages/publications/79952532176

U2 - 10.1145/1937728.1937766

DO - 10.1145/1937728.1937766

M3 - 会议稿件

AN - SCOPUS:79952532176

SN - 9781450304603

T3 - Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10

SP - 159

EP - 162

BT - Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10

T2 - 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS 2010

Y2 - 30 December 2010 through 31 December 2010

ER -

Zhang S, Wu J, Tian Y, Liu S, Sun X. Robust visual tracking based on occlusion detection and particle redistribution. In Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10. 2010. p. 159-162. (Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10). doi: 10.1145/1937728.1937766

Robust visual tracking based on occlusion detection and particle redistribution

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Keywords

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