Research on customs vehicle monitoring based on two-step targets tracking algorithm
基于两步跟踪算法的海关车辆监控研究*

The vehicle video monitoring at customs bayonet has a very high demand for its real-time and robustness. In response to this requirement,this paper proposed a two-step tracking algorithm based on improved Mean-Shift algorithm and particle filter. Firstly,established the initial frame image target model of customs vehicle monitoring by YCbCr color space. Secondly, identified the candidate targets by the improved Mean-Shift algorithm. Once the track similarity was less than the set threshold, then the follow-up tracking will be instead by improved particle filter algorithm. Finally, experiment analysis shows that the proposed algorithm can guarantee the real-time of Mean-Shift algorithm, but also can ensure the robust of particle filter tracking, so it is of good application value.