Effective Moving Object Detection from Videos Captured by a Moving Camera

  • Wu-Chih Hu
  • Chao-Ho Chen
  • Chih-Min Chen
  • Tsong-Yi Chen
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 297)

Abstract

This paper presents an effective method to detect moving objects for videos captured by a moving camera. Moving object detection is relatively difficult to videos captured by a moving camera, since in the case of the video filmed by moving cameras, not only do the objects move, but also the frames shift. In the proposed schemes, the feature points in the frames are first found and then classified into the foreground and background. Next, the foreground regions and image difference are obtained and then further merged to obtain moving object contours. Finally, the moving object is detected based on the motion history of the continuous motion contours and refinement schemes. Experimental results show that the proposed method performs well in terms of moving object detection.

Keywords

moving object moving camera motion history 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Wu-Chih Hu
    • 1
  • Chao-Ho Chen
    • 2
  • Chih-Min Chen
    • 2
  • Tsong-Yi Chen
    • 2
  1. 1.Department of Computer Science and Information EngineeringNational Penghu University of Science and TechnologyPenghuTaiwan, R.O.C.
  2. 2.Department of Electronic EngineeringNational Kaohsiung University of Applied SciencesKaohsiungTaiwan, R.O.C.

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