Distributed sensor network for real time tracking
Proceedings of the fifth international conference on Autonomous agents
Distributed vision system: a perceptual information infrastructure for robot navigation
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Real-time cooperative multi-target tracking by communicating active vision agents
Computer Vision and Image Understanding
Real-time dense communication among agents for active tracking
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Real-time cooperative multi-target tracking by dense communication among Active Vision Agents
Web Intelligence and Agent Systems
Qualitative Correspondence for Object Tracking Using Dynamic Panorama
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Real-time cooperative multi-target tracking by communicating active vision agents
Computer Vision and Image Understanding
System and software architectures of distributed smart cameras
ACM Transactions on Embedded Computing Systems (TECS)
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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.