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Pedestrian Detection by Using a Spatio-Temporal Histogram of Oriented Gradients
Hua CS(华春生); Makihara, Yasushi; Yagi, Yasushi
Department机器人学研究室
Source PublicationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
ISSN0916-8532
2013
VolumeE96DIssue:6Pages:1376-1386
Indexed BySCI ; EI
EI Accession number20132416409663
WOS IDWOS:000320013600014
Contribution Rank1
KeywordSpatio-temporal Gradients Adaboost Pedestrian Detection
AbstractIn 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.
Language英语
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering
WOS KeywordTRACKING ; SYSTEMS
WOS Research AreaComputer Science
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/12559
Collection机器人学研究室
Corresponding AuthorHua CS(华春生)
Affiliation1.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
Recommended Citation
GB/T 7714
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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