Multi-View Tracking in Wireless Sensor Networks

Wireless sensor networks facilitate the robust intelligent sensing technology. Multi-sensor fusion improves the information´s robustness and precision. For segmenting, detecting and tracking moving target with image sequences, signal-view tracking is easily impacted by obstacles and other disturbances, especially, when the target is blocked and/or makes significant motion, and original algorithm can not afford precise and continual tracking. This paper proposes a real-time robust moving target multi-view tracking technique based on wireless sensor networks (WSN), which contains two parts: moving region extraction and multi-view information fusion. First, extract moving region from image sequences of each sensor node with automatic thresholding change detection and brightness gradient adjustment. Second, fuse observational information of each node and analyze the 3D position of moving target with believed area combination method. The experimental results verify that the method has the ability of real-time robust tracking in complex background without any prior information of detected area, and it can also eliminate the infection of obstacles effectively