A multi-object detection and tracking method in wireless video sensor networks

摘要

Most multi-object detection and tracking techniques suffer from the well-known "multi-object occlusion" problem.The abundant nodes of wireless video sensor networks (WVSNs) can be utilized to solve the problem, and the videonodes in WVSN have limited calculation capability and energy. In order to achieve effective multi-object tracking usingWVSN, the main contributions of our proposed method are that: (1) the limits of field of view (FOV) of every videonodes are utilized to establish the consistent labeling of the objects in different views. (2) Mobile Agent is employed tocommunicate among network nodes, so the objects are assigned correct labels after multi-object occlusion. Theperformance of the approach has been demonstrated on real-world and the experimental results show that the proposedmethod is effective for resolving multi-object occlusions and meets the requirement of WVSN.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.