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http://dx.doi.org/10.5392/JKCA.2011.11.4.215

Automatic Detecting and Tracking Algorithm of Joint of Human Body using Human Ratio  

Kwak, Nae-Joung (목원대학교 정보통신공학과)
Song, Teuk-Seob (목원대학교 컴퓨터 공학과)
Publication Information
The Journal of the Korea Contents Association / v.11, no.4, 2011 , pp. 215-224 More about this Journal
Abstract
There have been studying many researches to detect human body and to track one with increasing interest on human and computer interaction. In this paper, we propose the algorithm that automatically extracts joints, linked points of human body, using the ratio of human body under single camera and tracks object. The proposed method gets the difference images of the grayscale images and ones of the hue images between input image and background image. Then the proposed method composes the results, splits background and foreground, and extracts objects. Also we standardize the ratio of human body using face' length and the measurement of human body and automatically extract joints of the object using the ratio and the corner points of the silhouette of object. After then, we tract the joints' movement using block-matching algorithm. The proposed method is applied to test video to be acquired through a camera and the result shows that the proposed method automatically extracts joints and effectively tracks the detected joints.
Keywords
Object Detection; Object Tracking; Silhouette; Joint;
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