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ZHANG Da-qi, QU Shi-ru, SHI Shuang. Edge detection algorithm of moving vehicle based on sequential image motion segmentation[J]. Journal of Traffic and Transportation Engineering, 2009, 9(3): 117-121. doi: 10.19818/j.cnki.1671-1637.2009.03.023
Citation: ZHANG Da-qi, QU Shi-ru, SHI Shuang. Edge detection algorithm of moving vehicle based on sequential image motion segmentation[J]. Journal of Traffic and Transportation Engineering, 2009, 9(3): 117-121. doi: 10.19818/j.cnki.1671-1637.2009.03.023
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Edge detection algorithm of moving vehicle based on sequential image motion segmentation

doi: 10.19818/j.cnki.1671-1637.2009.03.023

  • School of Automation, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China

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  • Author Bio:

    ZHANG Da-qi(1976-), male, doctoral student, +86-29-85600321, dqzhang2005@126.com

    QU Shi-ru(1963-), female, professor, PhD, +86-29-88431386, qushiru@nwpu.edu.cn

  • Received Date: 2008-12-13
  • Publish Date: 2009-06-25
    Abstract
  • To obtain the shape feature of moving vehicle in interested region, a novel algorithm of edge detection was proposed.After inputting three consecutive frames with interested vehicle and stationary complex background, the motion region of vehicle was detected by image motion segmentation and median filtering operator.The complete region and enclosed contour edge of vehicle were gotten by displacing the left edge or the right one of the motion region in horizontal detection.The run time of the algorithm was reduced by enlarging the threshold of iterative equation for motion vectors.Experiment result shows that in a 30 min sequence of urban traffic, 95% of vehicles are accurately detected in complex background.

     

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