Collaborative node localization in surveillance networks using opportunistic target observations

摘要: A collaborative vision-based technique is proposed for localizing the nodes of a surveillance network based on observations non-cooperative moving target. The method employs lightweight in-node image processing and limited data exchange between to determine positions orientations participating in synchronized node with an opportunistic observation passing target broadcasts synchronizing packet triggers capture by its neighbors. In cluster nodes, triggering helper define relative coordinate system. Once small number joint are made model allows decentralized or cluster-based solution localization problem.No images transferred task, making efficient scalable. Simulation experimental results provided verify performance technique.