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To track 3-dimensional multiple visual-targets states, we develop the decentralized Wireless Camera Sensor Network (WCSN) and the corresponding data fusion scheme. In our proposed scheme, each activated camera sensor-node obtains the local encoded 2-dimensional observation of the visual-targets' states and sends it to the global fusion center. This global fusion center processes the local information...
We propose a dynamic node collaboration scheme and a track-to-estimate association scheme for the Mobile Multi-Target Tracking (MMTT) problem in the two-tier Wireless Camera Sensor Network (WCSN). We apply the Particle Multi-Bernoulli (PCBMeMBer) filtering algorithm to implement our proposed sensor collaboration scheme, which includes the Cluster Head (CH) selection scheme and the cluster member selection...
We propose a two-tier hierarchical wireless sensor network (WSN) to address the mobile multi-target tracking (MMTT) problem. We develop the cluster head (CH) and cluster member election schemes using a particle cardinality balanced multi-Bernoulli (CBMeMBer) filtering algorithm. Under our proposed schemes, the CHs with better views of the tracked targets are activated at each time step and fuse their...
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