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Real-time cooperative multi-target tracking by dense communication among active vision agents

机译:主动视觉代理之间的密集通信实时协作多目标跟踪

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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.
机译:我们通过主动视觉代理(AVA)的协作行为提出了一种实时多目标跟踪系统,其中AVA是具有主动摄像机的联网计算机的逻辑模型。所有AVA通过相互协商来自适应地更改其角色。但是,以前的系统无法同时跟踪数量大于AVA的目标对象。在本文中,我们通过改进协作跟踪协议来实现同时可跟踪对象数量的增加,从而使AVA在不增加网络流量的情况下彼此交换大量信息。该系统可以通过以下方式增加可跟踪对象的数量:(1)AVA为多个机构(即,跟踪同一目标的一组AVA)提供观察对象的信息,以及(2)接收其目标信息的空置机构从AVA跟踪其他对象。实验结果表明,我们的系统可以实时,稳定地同时跟踪多个目标(数量大于摄像机)。

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