Efficient HOG human detection

While Histograms of Oriented Gradients (HOG) plus Support Vector Machine (SVM) (HOG+SVM) is the most successful human detection algorithm, it is time-consuming. This paper proposes two ways to deal with this problem. One way is to reuse the features in blocks to construct the HOG features for inters...

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Veröffentlicht in:	Signal processing Jg. 91; H. 4; S. 773 - 781
Hauptverfasser:	Pang, Yanwei, Yuan, Yuan, Li, Xuelong, Pan, Jing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.04.2011 Elsevier
Schlagworte:	Algorithms Applied sciences Construction Exact sciences and technology Fast algorithm Histograms HOG Human Human detection Image and video processing Image processing Information, signal and communications theory Interpolation Pattern recognition Reuse Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Support vector machines Telecommunications and information theory HOG Image and video processing Fast algorithm Human detection Performance evaluation Automatic classification Histogram Image processing Support vector machine Pattern recognition Signal classification Video signal processing Interpolation One way Database
ISSN:	0165-1684, 1872-7557
Online-Zugang:	Volltext
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