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Real-time traffic information extraction based on compressed video with interframe motion vector

Journal of Harbin Institute of Technology(New Series) 2003年第3期10卷 284-289页

作者：黄庆明王聪 Joint R&D Lab Graduate School Chinese Academy of Sciences Beijing 100080 China School of Astronautics Harbin Institute of Technology Harbin 150001 Chinaxtraction of traffic information from image or video sequence is a hot research topic in intelligent transportation system and computer vision. A real-time traffic information extraction method based on compressed video with interframe motion vectors for speed density and flow detection has been proposed for extraction of traffic information under fixed camera setting and well-defined environment. The motion vectors are first separated from the compressed video streams and then filtered to eliminate incorrect and noisy vectors using the well-defined environmental knowledge. By applying the projective transform and using the filtered motion vectors speed can be calculated from motion vector statistics density can be estimated using the motion vector occupancy and flow can be detected using the combination of speed and density. The embodiment of a prototype system for sky camera traffic monitoring using the MPEG video has been implemented and experimental results proved the effectiveness of the method proposed.

Extraction of traffic information from image or video sequence is a hot research topic in intelligenttransportation system and computer vision. A real-time traffic information extraction method based on com-pressed video with interframe motion vectors for speed, density and flow detection, has been proposed for ex-traction of traffic information under fixed camera setting and well-defined environment. The motion vectors arefirst separated from the compressed video streams, and then filtered to eliminate incorrect and noisy vectors u-sing the well-defined environmental knowledge. By applying the projective transform and using the filtered mo-tion vectors, speed can be calculated from motion vector statistics, density can be estimated using the motionvector occupancy, and flow can be detected using the combination of speed and density. The embodiment of aprototype system for sky camera traffic monitoring using the MPEG video has been implemented, and experi-mental results proved the effectiveness of the method proposed.

关键词： extraction of traffic information interframe motion vector compressed video stream

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