Abstract
This paper describes a view planning of multiple cameras for tracking multiple persons. View planning of cameras is a very important problem in watching multiple persons in a large room by using a few cameras. We select the focuses of attention (FOAs) of cameras efficiently by predicting persons' future positions with their uncertainty. First, we propose an exhaustive search-based planning method and a multi-start local search-based method for tracking persons continuously and compare them. In these methods, we set the FOAs of cameras on the positions so that cameras can catch as many persons as possible. Next, we propose a multi-start local search method for tracking persons intermittently and compare this view planning with others based on a differnt evaluation criterion which allows frequent shifts of the FOAs of cameras. This view planning outperforms the others and is considered to be appropriate for wide area surveillance systems.
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