复杂背景下快速移动目标的实时跟踪

A realtime tracking system for the fast moving object on the complex backgroun d is proposed. The Markov random filed (MRF) model based background subtraction algorithm is used to detect the changing pixels and track the moving object. The prior probability of the segmentation mask is modeled by using MRF, and the object tracking task is translated into the maximum aposterior (MA P) problem. Experimental results show that the method is efficient at both offli ne and online moving objects on simple and complex background.

Project Supported:

Supported by the National Natural Science Foundation of China (60674100).

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