Computer Science ›› 2014, Vol. 41 ›› Issue (12): 264-268.doi: 10.11896/j.issn.1002-137X.2014.12.057

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Automatic Pedestrian Detection Based on Video Surveillance

LI Xin-jiang,GONG Xun,LI Tian-rui,ZHAO Tao and XIONG Wei   

  • Online:2018-11-14 Published:2018-11-14

Abstract: To address the problem that the technologies of pedestrian detection can’t achieve the balance between detecting speed and accuracy,this paper aimed to research on pedestrian detection under video surveillance.An automatic videopedestrian detection method (denoted as LUVC4) was proposed by combining LUV color space information and C4 pedestrian detection algorithm.Firstly the C4 algorithm is used to rapidly traversal each frame of the video image.The LUV color space is taken to detect this window further when the confidence score of detect window is in the suspicious interval.If the weighted sum of scores of the two detections satisfies the threshold,it is discriminated as a pedestrian.A large number of experiments show that the detection speed of the proposed method nearly reaches that of C4 and it can greatly decrease the missrate about 9% when false positive per image equals to 0.1.

Key words: Pedestrian detection,LUV,C4,Confidence score

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