Efficient Video Retrieval by Motion Trajectory

نویسندگان

  • Yonggang Jin
  • Farzin Mokhtarian
چکیده

This paper presents an automatic motion trajectory based surveillance video retrieval system with an efficient and flexible trajectory matching technique based on turning function. Raw trajectories of moving objects are extracted by automatic tracking and described by MPEG-7 motion trajectory descriptor with first order interpolating function. Efficient matching is performed for translation invariant and translation-rotation invariant video retrieval in spatial model and spatio-temporal model. In spatial model, turning function is introduced to represent the trail of motion. In spatio-temporal model, velocity function is used to represent the motion of object. Results of experiment on a prototype video database indicate a promising performance of the system.

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تاریخ انتشار 2004