Real-time cooperative multi-target tracking by dense communication among active vision agents
Real-time cooperative multi-target tracking by dense communication among active vision agents
复制标题
通过主动视觉智能体之间的密集通信实现实时协作多目标跟踪
DOI：
10.1109/iat.2005.122
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
N. Ukita
中科院分区：
文献类型：
--
作者：
N. Ukita
我们提出了一个实时多目标跟踪系统的主动视觉代理（AVA）的合作行为，其中AVA是一个逻辑模型的网络连接的计算机与主动摄像机。所有的AVA通过相互协商来适应性地改变它们的角色。然而，先前的系统不能同时跟踪数量大于AVA的目标对象。在本文中，我们实现了同时可跟踪的对象的数量增加，通过改进合作跟踪协议，使AVA交换大量的信息与对方，而不增加网络流量。该系统通过（1）为若干机构（即，一组跟踪相同目标的AVA）和（2）从跟踪其他对象的AVA接收其目标的信息的空代理。实验结果表明，我们的系统可以同时跟踪多个目标（数量大于相机）和鲁棒性在真实的时间。
We have proposed a real-time multi-target tracking system by cooperative behaviors of active vision agents (AVAs), where an AVA is a logical model of a network-connected computer with an active camera. All AVAs change their roles adaptively by negotiating with each other. The previous system, however, was unable to simultaneously track target objects that are greater in number than the AVAs. In this paper, we realize the increase in number of simultaneously trackable objects by improving cooperative tracking protocols so that AVAs exchange a large amount of information with each other without increasing network traffic. This system enables the increase of trackable objects by (1) an AVA that provides information of observed objects for several agencies (i.e., a group of AVAs that track the same target) and (2) a vacant-agency that receives information of its target from AVAs tracking other objects. Experimental results demonstrate that our system can track multiple targets (greater in number than the cameras) simultaneously and robustly in real time.