An ensemble color model for human re-identification

Xiaokai Liu; Hongyu Wang; Yi Wu; Jimei Yang; Ming Hsuan Yang

doi:10.1109/WACV.2015.120

An ensemble color model for human re-identification

Xiaokai Liu, Hongyu Wang, Yi Wu, Jimei Yang, Ming Hsuan Yang

Department of Computer Science

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

46 Citations (Scopus)

Abstract

Appearance-based human re-identification is challenging due to different camera characteristics, varying lighting conditions, pose variations across camera views, etc. Recent studies have revealed that color information plays a critical role on performance. However, two problems remain unclear: (1) how do different color descriptors perform under the same scene in re-identification problem? and (2) how can we combine these descriptors without losing their invariance property and distinctiveness power? In this paper, we propose a novel ensemble model that combines different color descriptors in the decision level through metric learning. Experiments show that the proposed system significantly outperforms state-of-the-art algorithms on two challenging datasets (VIPeR and PRID 450S). We have improved the Rank 1 recognition rate on VIPeR dataset by 8.7%.

Original language	English
Title of host publication	Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	868-875
Number of pages	8
ISBN (Electronic)	9781479966820
DOIs	https://doi.org/10.1109/WACV.2015.120
Publication status	Published - 2015 Feb 19
Event	2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015 - Waikoloa, United States Duration: 2015 Jan 5 → 2015 Jan 9

Publication series

Name	Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015

Conference

Conference	2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015
Country/Territory	United States
City	Waikoloa
Period	15/1/5 → 15/1/9

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Computer Vision and Pattern Recognition

Access to Document

10.1109/WACV.2015.120

Cite this

Liu, X., Wang, H., Wu, Y., Yang, J., & Yang, M. H. (2015). An ensemble color model for human re-identification. In Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015 (pp. 868-875). [7045974] (Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WACV.2015.120

Liu, Xiaokai ; Wang, Hongyu ; Wu, Yi ; Yang, Jimei ; Yang, Ming Hsuan. / An ensemble color model for human re-identification. Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 868-875 (Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015).

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title = "An ensemble color model for human re-identification",

abstract = "Appearance-based human re-identification is challenging due to different camera characteristics, varying lighting conditions, pose variations across camera views, etc. Recent studies have revealed that color information plays a critical role on performance. However, two problems remain unclear: (1) how do different color descriptors perform under the same scene in re-identification problem? and (2) how can we combine these descriptors without losing their invariance property and distinctiveness power? In this paper, we propose a novel ensemble model that combines different color descriptors in the decision level through metric learning. Experiments show that the proposed system significantly outperforms state-of-the-art algorithms on two challenging datasets (VIPeR and PRID 450S). We have improved the Rank 1 recognition rate on VIPeR dataset by 8.7%.",

author = "Xiaokai Liu and Hongyu Wang and Yi Wu and Jimei Yang and Yang, {Ming Hsuan}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015 ; Conference date: 05-01-2015 Through 09-01-2015",

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Liu, X, Wang, H, Wu, Y, Yang, J & Yang, MH 2015, An ensemble color model for human re-identification. in Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015., 7045974, Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015, Institute of Electrical and Electronics Engineers Inc., pp. 868-875, 2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015, Waikoloa, United States, 15/1/5. https://doi.org/10.1109/WACV.2015.120

An ensemble color model for human re-identification. / Liu, Xiaokai; Wang, Hongyu; Wu, Yi; Yang, Jimei; Yang, Ming Hsuan.

Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 868-875 7045974 (Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015).

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

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N2 - Appearance-based human re-identification is challenging due to different camera characteristics, varying lighting conditions, pose variations across camera views, etc. Recent studies have revealed that color information plays a critical role on performance. However, two problems remain unclear: (1) how do different color descriptors perform under the same scene in re-identification problem? and (2) how can we combine these descriptors without losing their invariance property and distinctiveness power? In this paper, we propose a novel ensemble model that combines different color descriptors in the decision level through metric learning. Experiments show that the proposed system significantly outperforms state-of-the-art algorithms on two challenging datasets (VIPeR and PRID 450S). We have improved the Rank 1 recognition rate on VIPeR dataset by 8.7%.

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Liu X, Wang H, Wu Y, Yang J, Yang MH. An ensemble color model for human re-identification. In Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 868-875. 7045974. (Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015). https://doi.org/10.1109/WACV.2015.120

An ensemble color model for human re-identification

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