9 February 2012 Multiview face detection based on position estimation over multicamera surveillance system
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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.
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Ching-chun Huang, Ching-chun Huang, Jay Chou, Jay Chou, Jia-Hou Shiu, Jia-Hou Shiu, Sheng-Jyh Wang, Sheng-Jyh Wang, "Multiview face detection based on position estimation over multicamera surveillance system", Proc. SPIE 8304, Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI, 830411 (9 February 2012); doi: 10.1117/12.908167; https://doi.org/10.1117/12.908167

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