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Proceedings Paper

Multiview face detection based on position estimation over multicamera surveillance system
Author(s): Ching-chun Huang; Jay Chou; Jia-Hou Shiu; Sheng-Jyh Wang
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Paper Abstract

In this paper, we propose a multi-view face detection system that locates head positions and indicates the direction of each face in 3-D space over a multi-camera surveillance system. To locate 3-D head positions, conventional methods relied on face detection in 2-D images and projected the face regions back to 3-D space for correspondence. However, the inevitable false face detection and rejection usually degrades the system performance. Instead, our system searches for the heads and face directions over the 3-D space using a sliding cube. Each searched 3-D cube is projected onto the 2-D camera views to determine the existence and direction of human faces. Moreover, a pre-process to estimate the locations of candidate targets is illustrated to speed-up the searching process over the 3-D space. In summary, our proposed method can efficiently fuse multi-camera information and suppress the ambiguity caused by detection errors. Our evaluation shows that the proposed approach can efficiently indicate the head position and face direction on real video sequences even under serious occlusion.

Paper Details

Date Published: 10 February 2012
PDF: 12 pages
Proc. SPIE 8304, Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI, 830411 (10 February 2012); doi: 10.1117/12.908167
Show Author Affiliations
Ching-chun Huang, National Kaohsiung Univ. of Applied Sciences (Taiwan)
Jay Chou, National Chiao Tung Univ. (Taiwan)
Jia-Hou Shiu, National Chiao Tung Univ. (Taiwan)
Sheng-Jyh Wang, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 8304:
Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI
Cees G. M. Snoek; Nicu Sebe; Lyndon Kennedy; Reiner Creutzburg; David Akopian, Editor(s)

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