Target tracking in complex situations is challenging

especially in visual tracking

which is always performed in single-view system.Because of the conflict between resolution and tracking range

however

single-view tracking is not robust and accurate.This paper presents a distributed multi-view tracking system using collaborative signal processing (CSP) in distributed wireless sensor networks (DWSNs)

and introduces a progressive distributed data fusion mechanism.This mechanism dynamically chooses the optimal sensor nodes and schedules the fusion process with several measures of energy consumption and information utility.Finally

an indoor target tracking experiment is illustrated

and then tracking performance

execution time and energy consumption of progressive distributed data fusion based CSP are compared with centralized data fusion based CSP.Experimental results demonstrate that the distributed multi-view tracking system using progressive distributed data fusion based CSP in DWSNs can track the 3-D positions of targets quickly and accurately

and decrease the congestion

energy consumption and time latency in communication.