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Matching pedestrians across disjoint camera views is a challenging task, since their observations are separated in time and space and their appearances may vary considerably. Recently, some approaches of matching pedestrians have been proposed. However, these approaches either used too complex representations or only considered the color information and(More)
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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