Real-time multi-target tracking by cooperative distributed active vision agents

Abstract

This paper presents a real-time cooperative multi-target tracking system. The system consists of a group of Active Vision Agents (AVAs), where an AVA is a logical model of a network-connected computer with an active camera. All AVAs cooperatively track their target objects by dynamically interacting with each other. As a result, the system as a whole can track multiple moving objects simultaneously under complicated dynamic situations in the real world. To implement the real-time cooperation among AVAs, we designed a three-layered interaction architecture. In each layer, parallel processes mutually exchange various information for the effective cooperation. To realize the information exchange in real time, we employed the dynamic memory architecture[6]. Experimental results demonstrate that AVAs cooperatively track their target objects in real-time while adaptively changing their roles.