Human body segmentation based on background estimation in modified HLS color space

Authors:
Jang-Hee Yoo;Doosung Hwang;Ki-Young Moon
Affiliations:
Software & Contents Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, S. Korea;Department of Computer Science, Dankook University, Cheonan-si, Chungnam, S. Korea;Software & Contents Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, S. Korea
Venue:
SSIP '09/MIV'09 Proceedings of the 9th WSEAS international conference on signal, speech and image processing, and 9th WSEAS international conference on Multimedia, internet & video technologies
Year:
2009

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Abstract

Study of human motion analysis is related to several research areas of computer vision such as the motion capture, detection, tracking and segmentation of people. In this paper, we describe a segmentation method for extracting human body contour in modified HLS color space. To estimate a background, the modified HLS color model is proposed, and the background features are estimated by using the HLS color components. Here, the large amount of human dataset, which was collected from DV cameras, is pre-processed. The human body and its contour is successfully extracted from the image sequences.