On detecting a human and its body direction from a video

Authors:
Yuuki Nakashima;Joo Kooi Tan;Seiji Ishikawa;Takashi Morie
Affiliations:
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 804-8550;Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 804-8550;Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 804-8550;Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 804-8550
Venue:
Artificial Life and Robotics
Year:
2010

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Abstract

This article describes a novel technique for detecting a human and his or her body direction using the histograms of oriented gradients (HOG) feature. The HOG feature is a well-known feature for judging a human, but normally it contains a background feature, which has a negative influence on the judgment. This article proposes the employment of the HOG feature based on a human model. The feature is also employed for detecting the direction of a human body. Experimental results show the effectiveness of the proposed technique compared with conventional ones.