Real-time Multi-target Tracking by Cooperative Distributed Active Vision Agents

摘要

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. Experimental results demonstrate that AVAs cooperatively track their target objects in real-time while adaptively changing their roles.