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Fast Motion Detection Based on Accumulative Optical Flow and Double Background Model

  • Jin Zheng
  • Bo Li
  • Bing Zhou
  • Wei Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3802)

Abstract

Optical flow and background subtraction are important methods for detecting motion in video sequences. This paper integrates the advantages of these two methods. Firstly, proposes a high precise algorithm for optical flow computation with analytic wavelet and M-estimator to solve the optical flow restricted equations. Secondly, introduces the extended accumulative optical flow and also provides its computational strategies, then obtains a robust motion detection algorithm. Furthermore, combines a background subtraction algorithm based on the double background model with the extended accumulative optical flow to give an abnormity alarm in time. All obvious proofs of experiments show that, our algorithm can precisely detect moving objects, no matter slow or little, preferably solve the occlusions as well as give an alarm fast.

Keywords

Optical Flow Background Subtraction Motion Detection Optical Flow Method Optical Flow Field 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jin Zheng
    • 1
  • Bo Li
    • 1
  • Bing Zhou
    • 1
  • Wei Li
    • 1
  1. 1.Digital Media Lab, School of Computer Science & EngineeringBeihang UniversityBeijingChina

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