Guoyun Lian

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Tracking people across multiple cameras with non-overlapping views is a challenging task, since their observations are separated in time and space and their appearances may vary significantly. This paper proposes a Bayesian model to solve the consistent labeling problem across multiple non-overlapping camera views. Significantly different from related(More)
People consistent labeling across multiple cameras in the scene with multiple planes ground is a challenging task. We propose a simple but effective method to cope with it. In our method, camera calibration is not needed, the scene is not constrained to a planar ground and the cameras can be set at any oblique angles. The homography induced by the plane at(More)
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