|標題:||Multi-view Face Detection Based on Position Estimation over Multi-camera Surveillance System|
Department of Electronics Engineering and Institute of Electronics
|關鍵字:||Face detection;Multi-view face detection;Multi-camera surveillance system;Image information fusion|
|摘要:||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.|
|期刊:||MULTIMEDIA ON MOBILE DEVICES 2012 AND MULTIMEDIA CONTENT ACCESS: ALGORITHMS AND SYSTEMS VI|
|Appears in Collections:||Conferences Paper|
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