Cooperative multi-object tracking method for Wireless Video Sensor Networks

Abstract

For the enormous number and the limited energy of network nodes in the wireless video sensor networks (WVSN) environment, to fulfil the complicated tasks, multiple sensor nodes should collaborate with each other. A cooperative multi-object tracking method for Wireless Video Sensor Networks is proposed in this paper. The proposed method is focused on the solution of cooperative multi-object tracking among multiple sensor nodes when an object leaves the view field of the tracking node. The main contributions of our proposed method are that: (1) the sensing model of a video sensor and Kalman filter is utilized to achieve optimal sensor selection. (2) Projective Invariants are employed to integrate information from the related nodes. The experimental results show that the proposed method is effective for resolving the problem of tracking relay.