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.

• Type: Conference
• Year: 2007
• Where: ACCV
• Authors: Yinghao Cai, Wei Chen, Kaiqi Huang, Tieniu Tan
• Keywords: ACCV 2007, Computer Vision, Incorporate Spatial Information, Spatio-temporal Probability, Two-layered Histogram Representation