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Pedestrian Detection by Using a Spatio-Temporal Histogram of Oriented Gradients
Hua CS(华春生); Makihara, Yasushi; Yagi, Yasushi
作者部门机器人学研究室
关键词Spatio-temporal Gradients Adaboost Pedestrian Detection
发表期刊IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
ISSN0916-8532
2013
卷号E96D期号:6页码:1376-1386
收录类别SCI ; EI
EI收录号20132416409663
WOS记录号WOS:000320013600014
产权排序1
摘要In this paper, we propose a pedestrian detection algorithm based on both appearance and motion features to achieve high detection accuracy when applied to complex scenes. Here, a pedestrian's appearance is described by a histogram of oriented spatial gradients, and his/her motion is represented by another histogram of temporal gradients computed from successive frames. Since pedestrians typically exhibit not only their human shapes but also unique human movements generated by their arms and legs, the proposed algorithm is particularly powerful in discriminating a pedestrian from a cluttered situation, where some background regions may appear to have human shapes, but their motion differs from human movement. Unlike the algorithm based on a co-occurrence feature descriptor where significant generalization errors may arise owing to the lack of extensive training samples to cover feature variations, the proposed algorithm describes the shape and motion as unique features. These features enable us to train a pedestrian detector in the form of a spatio-temporal histogram of oriented gradients using the AdaBoost algorithm with a relatively small training dataset, while still achieving excellent detection performance. We have confirmed the effectiveness of the proposed algorithm through experiments on several public datasets.
语种英语
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering
关键词[WOS]TRACKING ; SYSTEMS
WOS研究方向Computer Science
引用统计
被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/12559
专题机器人学研究室
通讯作者Hua CS(华春生)
作者单位1.Institute of Scientific and Industrial Research, Osaka University, Ibaraki-shi, 567-0047, Japan
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, 110179, China
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Hua CS,Makihara, Yasushi,Yagi, Yasushi. Pedestrian Detection by Using a Spatio-Temporal Histogram of Oriented Gradients[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2013,E96D(6):1376-1386.
APA Hua CS,Makihara, Yasushi,&Yagi, Yasushi.(2013).Pedestrian Detection by Using a Spatio-Temporal Histogram of Oriented Gradients.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,E96D(6),1376-1386.
MLA Hua CS,et al."Pedestrian Detection by Using a Spatio-Temporal Histogram of Oriented Gradients".IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E96D.6(2013):1376-1386.
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