Lie Guo
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Pedestrian Tracking with HOG and Color Histogram Features
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Indexed by:会议论文

Date of Publication:2012-09-15

Included Journals:EI、CPCI-S、Scopus

Volume:241-244

Page Number:498-+

Key Words:pedestrian protection; HOG; particle filter; pedestrian tracking

Abstract:To improve the effectiveness of pedestrian tracking, the histograms of oriented gradients (HOG) and color histogram characteristics are adopted to track pedestrian based on particle filter. Firstly, the pedestrian is detected using the HOG features to determine the initial target position. Then the target is tracked based on particle filter utilizing color histogram, during which the HOG is used to modify particle heavy weights and particle sampling. Experimental results verify the accurateness and efficiency of the proposed method.

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Gender:Male

Alma Mater:吉林大学

Degree:Doctoral Degree

School/Department:机械工程学院

Discipline:Vehicle Engineering. Vehicle Operation Engineering

Business Address:海涵楼417A

Contact Information:15524800674

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