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http://dx.doi.org/10.5391/IJFIS.2005.5.1.046

Multi-Object Tracking using the Color-Based Particle Filter in ISpace with Distributed Sensor Network  

Jin, Tae-Seok (Institute of Industrial Science, University of Tokyo)
Hashimoto, Hideki (Institute of Industrial Science, University of Tokyo)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.5, no.1, 2005 , pp. 46-51 More about this Journal
Abstract
Intelligent Space(ISpace) is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. And the article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguity conditions. We propose to track the moving objects by generating hypotheses not in the image plan but on the top-view reconstruction of the scene. Comparative results on real video sequences show the advantage of our method for multi-object tracking. Simulations are carried out to evaluate the proposed performance. Also, the method is applied to the intelligent environment and its performance is verified by the experiments.
Keywords
Multi-vision sensors; Tracking; Intelligence Space; Mobile robot; Particle filter;
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