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http://dx.doi.org/10.5369/JSST.2016.25.4.285

Edge-based Method for Human Detection in an Image  

Do, Yongtae (Division of Electronic & Electrical Engineering, Daegu University)
Ban, Jonghee (Department of Information & Communication Engineering, Graduate School, Daegu University)
Publication Information
Journal of Sensor Science and Technology / v.25, no.4, 2016 , pp. 285-290 More about this Journal
Abstract
Human sensing is an important but challenging technology. Unlike other methods for sensing humans, a vision sensor has many advantages, and there has been active research in automatic human detection in camera images. The combination of Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) is currently one of the most successful methods in vision-based human detection. However, extracting HOG features from an image is computer intensive, and it is thus hard to employ the HOG method in real-time processing applications. This paper describes an efficient solution to this speed problem of the HOG method. Our method obtains edge information of an image and finds candidate regions where humans very likely exist based on the distribution pattern of the detected edge points. The HOG features are then extracted only from the candidate image regions. Since complex HOG processing is adaptively done by the guidance of the simpler edge detection step, human detection can be performed quickly. Experimental results show that the proposed method is effective in various images.
Keywords
Vision sensor; Human detection; HOG(Histogram of Oriented Gradients); SVM(Support Vector Machine);
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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