Dynamic Motion Detection Techniques

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)


A novel motion estimation technique with reduced complexity is introduced in this chapter. This is based on segmenting the current frame into active and inactive regions containing moving objects and stationary background, respectively. The inactive region is assumed with zero motion vectors. The early detection of blocks due to zero motion vector, leads to cut redundant computation significantly, which speeds up the coding of video sequences. New approach, based on frame variance and correlation, is proposed to decide the motion activity of a block. Block-based motion estimation has shortcomings like unreliable motion vectors, block artifacts, and poor motion-compensated prediction along the moving edges. A new search strategy based on edge detection is proposed to obtain more accurate motion prediction along moving edges.


Video Sequence Motion Vector Motion Estimation Motion Detection Current Frame 


  1. 1.
    M. Paul, M. Murshed, L. Dooley, A real time pattern selection algorithm for very low bit-rate video Coding using relevance and similarity metrics. IEEE Trans. Circuits Syst. Video Technol. 15(6), 753–761 (2005)CrossRefGoogle Scholar
  2. 2.
    I.E.G. Richardson, Video Codec Design (Wiley, New York, 2002)CrossRefGoogle Scholar
  3. 3.
    G. Bailo, M. Bariani, H.264 search window size algorithm for fast and efficient video coding with single pixel precision and no background estimation for motion detection, in Proceedings of IEEE CCNC2006, pp. 754–757, 2006Google Scholar
  4. 4.
    Y. Nakaya, H. Harashima, Motion compensation based on spatial transformations. IEEE Trans Circuits Syst. Video Technol. 4(3), 339–356 (1994)CrossRefGoogle Scholar
  5. 5.
    R. Korada, S. Krishna, Spatio-temporal correlation based ast motion estimation algorithm for MPEG-2, in Proceedings of 35th IEEE Asilomar Conference on Signals, Systems and computers, California, pp. 220–224, Nov 2001Google Scholar
  6. 6.
    J.Y. Nam, J.-S. Seo, J.-S. Kwak, M.-H. Lee, H.H. Yeong, New fast-search algorithm for block matching motion estimation using temporal and spatial correlation of motion vector. IEEE Trans. Consum. Electron. 46(11), 934–942 (2000)Google Scholar

Copyright information

© The Author(s) 2013

Authors and Affiliations

  1. 1.Electronics and TelecommunicationsCollege of EngineeringPuneIndia
  2. 2.Electronics and TelecommunicationsShri GGS Institute of Engineering and TechnologyNandedIndia

Personalised recommendations