Volume 47 Issue 10
Oct.  2018
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Cheng Quan, Fan Yu, Liu Yuchun, Cheng Peng. Moving target detection method based on block projection matching[J]. Infrared and Laser Engineering, 2018, 47(10): 1026004-1026004(4). doi: 10.3788/IRLA201847.1026004
Citation: Cheng Quan, Fan Yu, Liu Yuchun, Cheng Peng. Moving target detection method based on block projection matching[J]. Infrared and Laser Engineering, 2018, 47(10): 1026004-1026004(4). doi: 10.3788/IRLA201847.1026004

Moving target detection method based on block projection matching

doi: 10.3788/IRLA201847.1026004
  • Received Date: 2018-05-05
  • Rev Recd Date: 2018-06-03
  • Publish Date: 2018-10-25
  • Aiming at the moving target detection in image sequence for dynamic scene, block projection and matching were utilized for global motion estimation. Then, the background image was compensated by applying the estimated motion parameters so as to stabilize the image sequence. Finally, background subtraction was employed in the stabilized image sequence to extract moving targets. Experiment tests denote that the proposed moving target detection algorithm based on block projection and matching can efficiently extract moving targets in dynamic scene.
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    [10] Ma Junkai, Luo Haibo, Chang Zheng, et al. Visual tracking algorithm based on deformable parts model[J]. Optics and Precision Engineering, 2017, 46(9):0928001. (in Chinese)
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Moving target detection method based on block projection matching

doi: 10.3788/IRLA201847.1026004
  • 1. College of Mechanical and Electrical Engineering,Zhoukou Normal University,Zhoukou 466001,China;
  • 2. College of Network Engineering,Zhoukou Normal University,Zhoukou 466001,China;
  • 3. Sinomach Precision Industry CO.,Ltd.,Zhengzhou 450000,China

Abstract: Aiming at the moving target detection in image sequence for dynamic scene, block projection and matching were utilized for global motion estimation. Then, the background image was compensated by applying the estimated motion parameters so as to stabilize the image sequence. Finally, background subtraction was employed in the stabilized image sequence to extract moving targets. Experiment tests denote that the proposed moving target detection algorithm based on block projection and matching can efficiently extract moving targets in dynamic scene.

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