An integrated robot vision system for multiple human tracking and silhouette extraction

Jung Ho Ahn; Sooyeong Kwak; Cheolmin Choi; Kilcheon Kim; Hyeran Byun

doi:10.1007/11941354_59

An integrated robot vision system for multiple human tracking and silhouette extraction

Jung Ho Ahn, Sooyeong Kwak, Cheolmin Choi, Kilcheon Kim, Hyeran Byun

Department of Computer Science

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

2 Citations (Scopus)

Abstract

In this paper, we propose a new integrated robot vision system designed for multiple human tracking and silhouette extraction using an active stereo camera. The proposed system focuses on robustness to camera movement. Human detection is performed by camera egomotion compensation and disparity segmentation. A fast histogram based tracking algorithm is presented by using the mean shift principle. Color and disparity values are combined by the weighted kernel for the tracking feature. The human silhouette extraction is based on graph cut segmentation. A trimap is estimated in advance and this is effectively incorporated into the graph cut framework. Keywords: Object Detection, Tracking, Silhouette Extraction, Robot Vision.

Original language	English
Title of host publication	Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings
Pages	575-583
Number of pages	9
DOIs	https://doi.org/10.1007/11941354_59
Publication status	Published - 2006
Event	16th International Conference on Artificial Reality and Telexistence, ICAT 2006 - Hangzhou, China Duration: 2006 Nov 29 → 2006 Dec 1

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4282 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	16th International Conference on Artificial Reality and Telexistence, ICAT 2006
Country	China
City	Hangzhou
Period	06/11/29 → 06/12/1

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11941354_59

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Ahn, J. H., Kwak, S., Choi, C., Kim, K., & Byun, H. (2006). An integrated robot vision system for multiple human tracking and silhouette extraction. In Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings (pp. 575-583). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4282 LNCS). https://doi.org/10.1007/11941354_59

Ahn, Jung Ho ; Kwak, Sooyeong ; Choi, Cheolmin ; Kim, Kilcheon ; Byun, Hyeran. / An integrated robot vision system for multiple human tracking and silhouette extraction. Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings. 2006. pp. 575-583 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "An integrated robot vision system for multiple human tracking and silhouette extraction",

abstract = "In this paper, we propose a new integrated robot vision system designed for multiple human tracking and silhouette extraction using an active stereo camera. The proposed system focuses on robustness to camera movement. Human detection is performed by camera egomotion compensation and disparity segmentation. A fast histogram based tracking algorithm is presented by using the mean shift principle. Color and disparity values are combined by the weighted kernel for the tracking feature. The human silhouette extraction is based on graph cut segmentation. A trimap is estimated in advance and this is effectively incorporated into the graph cut framework. Keywords: Object Detection, Tracking, Silhouette Extraction, Robot Vision.",

author = "Ahn, {Jung Ho} and Sooyeong Kwak and Cheolmin Choi and Kilcheon Kim and Hyeran Byun",

note = "Copyright: Copyright 2010 Elsevier B.V., All rights reserved.; 16th International Conference on Artificial Reality and Telexistence, ICAT 2006 ; Conference date: 29-11-2006 Through 01-12-2006",

year = "2006",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Ahn, JH, Kwak, S, Choi, C, Kim, K & Byun, H 2006, An integrated robot vision system for multiple human tracking and silhouette extraction. in Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4282 LNCS, pp. 575-583, 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Hangzhou, China, 06/11/29. https://doi.org/10.1007/11941354_59

An integrated robot vision system for multiple human tracking and silhouette extraction. / Ahn, Jung Ho; Kwak, Sooyeong; Choi, Cheolmin; Kim, Kilcheon; Byun, Hyeran.

Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings. 2006. p. 575-583 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4282 LNCS).

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

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T1 - An integrated robot vision system for multiple human tracking and silhouette extraction

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AB - In this paper, we propose a new integrated robot vision system designed for multiple human tracking and silhouette extraction using an active stereo camera. The proposed system focuses on robustness to camera movement. Human detection is performed by camera egomotion compensation and disparity segmentation. A fast histogram based tracking algorithm is presented by using the mean shift principle. Color and disparity values are combined by the weighted kernel for the tracking feature. The human silhouette extraction is based on graph cut segmentation. A trimap is estimated in advance and this is effectively incorporated into the graph cut framework. Keywords: Object Detection, Tracking, Silhouette Extraction, Robot Vision.

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Ahn JH, Kwak S, Choi C, Kim K, Byun H. An integrated robot vision system for multiple human tracking and silhouette extraction. In Advances in Artificial Reality and Tele-Existence - 16th International Conference on Artificial Reality and Telexistence, ICAT 2006, Proceedings. 2006. p. 575-583. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11941354_59