Realization of moving object detection and tracking algorithm based on frame difference method and particle filter algorithm
Yaoming Zhuang, Chengdong Wu, Zhang Yunzhou, Sheng Feng · 2017
With the multimedia sensor is widely used, moving objects detection and tracking based on video have gradually become a popular research field in multimedia sensor networks. For the multimedia sensor networks, the existing target detection and tracking algorithm cannot meet the system requirements of real-time and accuracy, which existing the problem of slowness and target missing. Therefore, this paper proposes moving target detection and tracking algorithm based on frame difference method and particle filter algorithm. At the same time, a WMSN node experiment platform based on ARM embedded system is constructed. Through the practical experiment, the effective detection and tracking of the moving target are realized on the platform. Compared with the general computer simulation experiment, the experimental results running on the experiment platform is closer to the practical application. Finally, the experimental results show that the algorithm proposed in this paper is superior to Kalman filter in speed and stability.