EAR DETECTION BASED ON SKIN-COLOR AND CONTOUR INFORMATION

摘要：

Ear detection is t challenging task in the ear recognition system.In this paper a tracking method which combines both skin-color model and intensity contour information is proposed to detect and track the human ear in a sequence frames.As a fast computationally efficient algorithm on color-based tracking, a modified CAMSHIFT algorithm is applied to roughly track the profile image as the region of interest (ROI) and then contour fitting is operated on KOI for further accurate location due to the ample contour information the ear contains.Experiment results show that this method can meet the real-time requirement and works well in practical situations.

关键词： Ear detection Skin-color probability distributions CAMSHIFT algorithm Contour fitting

作者: LI YUAN ZHI-CHUN MU

作者单位: School of Information Engineering, University of Science and Technology Beijing, Beijing, 100083, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 2213-2217

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）