Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (4): 481-485.DOI: 10.12068/j.issn.1005-3026.2016.04.006

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Multi-pedestrian Detection Approach Based on Improved ViBe Algorithm

PAK Chun-hyok1,2, PAN Yi-lin1, ZHAO Hai1, ZHU Hong-bo1   

  1. 1.School of computer Science & Engineering, Northeastern University, Shenyang 110819, China; 2. School of Electronic Engineering, Kim Chaek University of Technology, Pyongyang 999093, DPRK.
  • Received:2015-04-13 Revised:2015-04-13 Online:2016-04-15 Published:2016-04-05
  • Contact: PAK Chun-hyok
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Abstract: The moving object detection of multi-pedestrian scenario was conducted by using the improved ViBe algorithm and the template matching method. The original ViBe algorithm was combined with the frame difference method to improve the performance of moving object detection, which can more rapidly eliminate the ghosts in the result binary image than the original ViBe algorithm. According to the treated foreground result around the treating pixel, the dynamic model parameters were used to estimate the foreground for improving the accuracy of the foreground object detection. The HOG algorithm was used to detect the pedestrians in the moving objects. The results showed that the method does not reduce the real-time performance of moving object detection, and significantly improve the accuracy of the detection algorithm.

Key words: moving object detection, ghost elimination, ViBe, SVM, pedestrian detection

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