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An improved method for multi-target tracking.

Author(s)
Zhou Tong Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
Hong Bing-Rong Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
Shi Chao-Xia Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
Piao Song-Hao Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
Abstract
The authors proposed a novel distributed algorithm based on local density of robots and targets to multi-target tracking. In this approach each robot computes the numbers and coordinates of neighbor robots within its communicating range and targets within its sensing range based on the latest tracking information. Utilizing these data construct their virtual potential fields. Each robot independently moves to next position according to the sum of force resulted from the fields. The force is multiplied to a weighted factor based on the local density of robots and targets. The performance of the algorithm is evaluated through simulation experiment. Simulation Experimental results indicate that robots are able to distribute themselves appropriately in response to the movement of targets. The algorithm performs better than the artificial potential field approach with the fixed weighted factor for multi-target tracking.
Publication Details
Page(s) 725-730
DOI DOI not available
Published Journal: Information technology Journal, Volume: 6, Issue: 5, Year: 2007

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