Title: Human detection based on integral Histograms of Oriented Gradients and SVM
Abstract: This paper presents a method for human detection in video sequence. The Histogram of Oriented Gradients (HOG) descriptors show experimentally significantly out-performs existing feature sets for human detection. Because of HOG computation influence on performance, we finally choose a more better HOG descriptor to extract human feature from visible spectrum images based on OpenCv and MS VC++. We realized an image descriptor based on Integral Histograms of Oriented Gradients (HOG), associated with a Support Vector Machine (SVM) classifier and evaluate its efficiency.
Publication Year: 2011
Publication Date: 2011-03-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 27
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