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Noisy Motion Vector Elimination by Bi-directional Vector-Based Zero Comparison

  • Takanori Yokoyama
  • Toshinori Watanabe
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6468)

Abstract

Network cameras are becoming increasingly popular as surveillance devices. They compress the captured live video data into Motion JPEG and/or MPEG standard formats, and they transmit them through the IP network. MPEG-coded videos contain motion vectors that are useful information for video analysis. However, the motion vectors occurring in homogeneous, low-textured, and line regions tend to be unstable and noisy. To address this problem, the noisy motion vector elimination using vector-based zero comparison and global motion estimation was proposed. In this paper, we extend the existing elimination method by introducing a novel bi-directional vector-based zero comparison to enhance the accuracy of noisy motion vector elimination, and we propose an efficient algorithm for zero comparison. We demonstrate the effectiveness of the proposed method through several experiments using actual video data acquired by an MPEG video camera.

Keywords

Discrete Cosine Transform Motion Vector Global Motion Network Camera Move Picture Expert Group 
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 2011

Authors and Affiliations

  • Takanori Yokoyama
    • 1
  • Toshinori Watanabe
    • 1
  1. 1.Graduate School of Information SystemsUniversity of Electro-CommunicationsTokyoJapan

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