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http://dx.doi.org/10.6109/jkiice.2012.16.6.1179

Human Activity Pattern Recognition Using Motion Information and Joints of Human Body  

Kwak, Nae-Joung (목원대학교)
Song, Teuk-Seob (목원대학교)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.6, 2012 , pp. 1179-1186 More about this Journal
Abstract
In this paper, we propose an algorithm that recognizes human activity patterns using the human body's joints and the information of the joints. The proposed method extracts the object from inputted video, automatically extracts joints using the ratio of the human body, applies block-matching algorithm for each joint and gets the motion information of joints. The proposed method uses the joints to move, the directional vector of motions of joints, and the sign to represent the increase or decrease of x and y coordinates of joints as basic parameters for human recognition of activity. The proposed method was tested for 8 human activities of inputted video from a web camera and had the good result for the ration of recognition of the human activities.
Keywords
activity recognition; joint; motion information;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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