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ACCV
2007
Springer

Continuously Tracking Objects Across Multiple Widely Separated Cameras

9 years 3 months ago
Continuously Tracking Objects Across Multiple Widely Separated Cameras
In this paper, we present a new solution to the problem of multi-camera tracking with non-overlapping fields of view. The identities of moving objects are maintained when they are traveling from one camera to another. Appearance information and spatio-temporal information are explored and combined in a maximum a posteriori (MAP) framework. In computing appearance probability, a two-layered histogram representation is proposed to incorporate spatial information of objects. Diffusion distance is employed to histogram matching to compensate for illumination changes and camera distortions. In deriving spatio-temporal probability, transition time distribution between each pair of entry zone and exit zone is modeled as a mixture of Gaussian distributions. Experimental results demonstrate the effectiveness of the proposed method.
Yinghao Cai, Wei Chen, Kaiqi Huang, Tieniu Tan
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where ACCV
Authors Yinghao Cai, Wei Chen, Kaiqi Huang, Tieniu Tan
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