Adaptive Camera Selection Based on Fuzzy Automaton for Object Tracking in a Multi- Camera System

نویسندگان

  • Kazuyuki MORIOKA
  • Szilvester KOVÁCS
  • Péter KORONDI
  • Joo-Ho LEE
  • Hideki HASHIMOTO
چکیده

A research field on intelligent environments for supporting human beings and robots has been expanding. An intelligent environment is composed of many intelligent sensors distributed in the space. In such an environment, it is very important to track human beings and robots seamlessly among multiple sensors. In order to achieve that, multi-camera system is promising as a location system in intelligent environments. Especially, distributed autonomous multi-camera system is desired for scalability of a system. In this paper, cooperation method of multiple cameras for seamless object tracking is described. An adaptive camera selection method is needed for achievement of tracking task in wide area covered by multiple cameras. This paper proposes fuzzy logic-based handing over of tracking authority for a tracked object. Some simulations are performed and the results show that the proposed method is effective for adaptive camera selection.

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تاریخ انتشار 2008