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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 wide area by using a few cameras. We select fixation points of cameras so that the expected number of tracked persons is maxmized, based on a probabilistic model of person motion. We propose a multi-start local search-based method for tracking persons intermittently using a cri terion which allows frequent shifts of fixation points. This view planning outperforms the others and is considered to be appropriate for wide area surveillance systems. We then modify the method so that the planning cost is reduced. We divide the cameras into mutually independent groups based on relations between their veiwing directions and determine fixation points within each group. The performance of this modified method is comparable to the original one with a lower planning cost.

View Planning of Multiple Active Cameras for Tracking Many Persons based on Multi-start Local Search