Abstract
The sensing power of traditional camera networks for efficiently addressing the critical tasks in the process of cluster – based target tracking of human, such as measurement integration, inclusion/exclusion in the cluster and cluster head rotation. The Wireless Camera Networks efficiently uses distribution friendly representation and methods in which every node contributes to the computation in each mechanism without the requirement of any prior knowledge of the rest of the nodes. These mechanisms and methods are integrated in two different distributed schemas so that it can be implemented in the same mean time without taking into the consideration of cluster size. Thus, the experimental evaluation shows that the proposed schemes and mechanisms drastically reduce the energy consumption and computational burden with respect to the existing methodology.