期刊
SIGNAL PROCESSING
卷 91, 期 4, 页码 773-781出版社
ELSEVIER
DOI: 10.1016/j.sigpro.2010.08.010
关键词
Image and video processing; Human detection; HOG; Fast algorithm
资金
- National Basic Research Program of China (973 Program) [2011CB707100]
- National Natural Science Foundation of China [60975001, 61072093]
- Tianjin Research Program of Application Foundation and Advanced Technology [10JCYBJC07700]
- Specialized Research Fund for the Doctoral Program of Higher Education [20090032110028]
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 intersecting detection windows. Another way is to utilize sub-cell based interpolation to efficiently compute the HOG features for each block. The combination of the two ways results in significant increase in detecting humans-more than five times better. To evaluate the proposed method, we have established a top-view human database. Experimental results on the top-view database and the well-known INRIA data set have demonstrated the effectiveness and efficiency of the proposed method. (C) 2010 Elsevier B.V. All rights reserved.
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