Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm

Koichiro Deguchi; Oki Kawanaka; Takayuki Okatani

doi:10.1109/ICPR.2004.1334577

Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm

Koichiro Deguchi, Oki Kawanaka, Takayuki Okatani

INF - System Information Sciences

Tohoku University

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

68 Citations (Scopus)

Abstract

This paper presents a method for tracking a person in a video sequence in real time. In this method the profile of color distribution characterises target's feature. It is invariant for rotation and scale changes. It's also robust to non-rigidity and partial occlusion of the target. We employ the mean-shift algorithm to track the target and to reduce the computational cost. Moreover, we incorporate the particle-filter into it to cope with a temporal occlusion of the target, and largely reduce the computational cost of the original particle-filter. Experiments show the availability of this method.

Original language	English
Title of host publication	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Editors	J. Kittler, M. Petrou, M. Nixon
Pages	506-509
Number of pages	4
DOIs	https://doi.org/10.1109/ICPR.2004.1334577
Publication status	Published - 2004
Event	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom Duration: 2004 Aug 23 → 2004 Aug 26

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	3
ISSN (Print)	1051-4651

Conference

Conference	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Country/Territory	United Kingdom
City	Cambridge
Period	04/8/23 → 04/8/26

Access to Document

10.1109/ICPR.2004.1334577

Cite this

Deguchi, K., Kawanaka, O., & Okatani, T. (2004). Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm. In J. Kittler, M. Petrou, & M. Nixon (Eds.), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 (pp. 506-509). (Proceedings - International Conference on Pattern Recognition; Vol. 3). https://doi.org/10.1109/ICPR.2004.1334577

Deguchi, Koichiro ; Kawanaka, Oki ; Okatani, Takayuki. / Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm. Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. editor / J. Kittler ; M. Petrou ; M. Nixon. 2004. pp. 506-509 (Proceedings - International Conference on Pattern Recognition).

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title = "Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm",

abstract = "This paper presents a method for tracking a person in a video sequence in real time. In this method the profile of color distribution characterises target's feature. It is invariant for rotation and scale changes. It's also robust to non-rigidity and partial occlusion of the target. We employ the mean-shift algorithm to track the target and to reduce the computational cost. Moreover, we incorporate the particle-filter into it to cope with a temporal occlusion of the target, and largely reduce the computational cost of the original particle-filter. Experiments show the availability of this method.",

author = "Koichiro Deguchi and Oki Kawanaka and Takayuki Okatani",

year = "2004",

doi = "10.1109/ICPR.2004.1334577",

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note = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 ; Conference date: 23-08-2004 Through 26-08-2004",

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Deguchi, K, Kawanaka, O & Okatani, T 2004, Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm. in J Kittler, M Petrou & M Nixon (eds), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Proceedings - International Conference on Pattern Recognition, vol. 3, pp. 506-509, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, United Kingdom, 04/8/23. https://doi.org/10.1109/ICPR.2004.1334577

Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm. / Deguchi, Koichiro; Kawanaka, Oki; Okatani, Takayuki.
Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. ed. / J. Kittler; M. Petrou; M. Nixon. 2004. p. 506-509 (Proceedings - International Conference on Pattern Recognition; Vol. 3).

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

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AB - This paper presents a method for tracking a person in a video sequence in real time. In this method the profile of color distribution characterises target's feature. It is invariant for rotation and scale changes. It's also robust to non-rigidity and partial occlusion of the target. We employ the mean-shift algorithm to track the target and to reduce the computational cost. Moreover, we incorporate the particle-filter into it to cope with a temporal occlusion of the target, and largely reduce the computational cost of the original particle-filter. Experiments show the availability of this method.

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Deguchi K, Kawanaka O, Okatani T. Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm. In Kittler J, Petrou M, Nixon M, editors, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. 2004. p. 506-509. (Proceedings - International Conference on Pattern Recognition). doi: 10.1109/ICPR.2004.1334577

Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm

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