Abstract: A new method for multi-target real-time tracking system working under harsh environment was presented. Compared to the current researches in this field, this method could track the invasion target more accurately in the video surveillance scene, and the efficiency of the algorithm was improved greatly. First, based on the current mainstream background modeling method codebook algorithm, the background updating method was improved, which made the computation efficiency and the foreground of the codebook detection accuracy improved greatly compared to the original algorithm. The main performance was better than other mainstream background modeling algorithm. Then, a particle filter algorithm as the multi-target tracking method made large improvement for resampling method that could maintain the effectiveness and diversity of the particles in real time environment. Experiments proved this system could be used in multi-target real-time tracking under harsh environment and had effective performances.

Key words: vision, video analysis, dynamic background modeling, multi-target tracking; , image processing, particle filter algorithm