IEEE Trans Image Process - Cluster-based distributed face tracking in camera networks.

Tópicos

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Resumo

In this paper, we present a distributed multicamera face tracking system suitable for large wired camera networks. Unlike previous multicamera face tracking systems, our system does not require a central server to coordinate the entire tracking effort. Instead, an efficient camera clustering protocol is used to dynamically form groups of cameras for in-network tracking of individual faces. The clustering protocol includes cluster propagation mechanisms that allow the computational load of face tracking to be transferred to different cameras as the target objects move. Furthermore, the dynamic election of cluster leaders provides robustness against system failures. Our experimental results show that our cluster-based distributed face tracker is capable of accurately tracking multiple faces in real-time. The overall performance of the distributed system is comparable to that of a centralized face tracker, while presenting the advantages of scalability and robustness.

Resumo Limpo

paper present distribut multicamera face track system suitabl larg wire camera network unlik previous multicamera face track system system requir central server coordin entir track effort instead effici camera cluster protocol use dynam form group camera innetwork track individu face cluster protocol includ cluster propag mechan allow comput load face track transfer differ camera target object move furthermor dynam elect cluster leader provid robust system failur experiment result show clusterbas distribut face tracker capabl accur track multipl face realtim overal perform distribut system compar central face tracker present advantag scalabl robust

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