Po-Hao Hsiao

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This paper proposes a real-time indoor surveillance system which installs multiple depth cameras from vertical top-view to track humans. This system leads to a novel framework to solve the traditional challenge of surveillance through tracking of multiple persons, such as severe occlusion, similar appearance, illumination changes, and outline deformation.(More)
The importance of surveillance system increases in recent years. The ability of camera tracking has also gone mature enough to produce reliable results. But even so, the automotive tracking algorithm in multiple views is still a late bloomer. In this paper, we are exploring a general form of cameras' coalition tracking. We not only propose a new 3D(More)
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