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Multiple Pedestrians Detection and Tracking using Histogram and Color Information from a Moving Camera  

임종석 (영남대학교 컴퓨터공학과)
곽현욱 (영남대학교 컴퓨터공학과)
김욱현 (영남대학교 컴퓨터공학과)
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Abstract
This paper presents a novel histogram and color information based algorithm for detecting and tracking multiple pedestrians from a moving camera. In the proposed method, RGB color histogram is used to detect adjacent pedestrians and RGB mean value is used to track detected pedestrians. Therefore, our algorithm detect contiguous or a few occluded pedestrians and track in case pedestrian's shape change. The experimental results on our test sequences demonstrate the high efficiency of our method.
Keywords
pedestrian detection; pedestrian tracking; color histogram;
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Times Cited By KSCI : 2  (Citation Analysis)
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