A Study on a Spatio-Temporal Data Structure for Managing Video Data from Monitoring Cameras

نویسندگان

  • Yiqun Wang
  • Yoshinori Hijikata
  • Shogo Nishida
چکیده

In this paper the authors discusses about video processing which has been more concentrated on moving objects in the video. Video objects refer to the semantics that are used to denote the spatialtemporal region. They discuss about some approaches which have been done in the past and then compare with the proposed approach. In the previous work, few approaches were based on low level features and others were based on high level semantics. The main aim of the paper is to develop an efficient video data model which introduces the concept of Video Object Action (VOA) and Elementary Video Object Motion (EVOM) for bridging the gap between low level features with semantics.

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تاریخ انتشار 2003