Human tracking using distributed vision systems
Human tracking using distributed vision systems
复制标题
使用分布式视觉系统进行人体跟踪
DOI：
10.1109/icpr.1998.711213
复制
发表时间：
1998
期刊：
影响因子：
--
通讯作者：
S. Inokuchi
中科院分区：
文献类型：
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作者：
A. Nakazawa;Hirokazu Kato;S. Inokuchi
提出了一种基于分布式计算机视觉系统的广域人体跟踪方法。每个视觉系统由一个摄像头和一个图像处理器组成，它们都通过计算机网络连接。在本文中，我们提出了一种方法，用于人体跟踪和协调的所有视觉系统。人体跟踪方法适用于每个视觉系统，并使用一种基于模板匹配的模型，在标准个人计算机上以15帧/秒的速度跟踪移动的人。视觉系统之间的协调对于实现一致的广域跟踪是必要的。我们使用一个状态转换映射和几个动作规则来同步系统之间的图像处理。所有视觉系统共享状态转移图，并根据动作规则决定各自的动作。我们描述的实验结果表明，我们的方法的有效性。
We present a wide area human tracking method using distributed computer vision systems. Each vision system consists of a camera and an image processor and they are all connected through a computer network. In this paper, we propose a method for human tracking and for coordination of all the vision systems. The human tracking method works on each vision system and uses a type of model based template matching to track moving people at 15 frame/sec on a standard personal computer. Coordination between the vision systems is necessary to achieve consistent wide area tracking. We use a state transition map and several action rules to synchronize the image processing between systems. All the vision systems share the state transition map jointly and decide their own actions according to the action rules. We describe experimental results that show the validity of our approach.