Hand gesture segmentation based on improved kalman filter and TSL skin color model

• Published in: 2011 International Conference on Multimedia Technology pp. 3543 - 3546
• Main Authors: Shu Mo, Shihai Cheng, Xiaofen Xing
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2011
• Subjects: hand gesture segmentation; Image color analysis; Image segmentation; Image sequences; improved kalman filter; Kalman filters; Mathematical model; morphology; Noise; Skin; skin color detection
• ISBN: 1612847714; 9781612847719
• DOI: 10.1109/ICMT.2011.6002133

The first step about the hand gesture recognition is the gesture segmentation. Frequently-used segmentation method is mainly about skin color segmentation based on color space, however skin color segmentation can't get rid of the similar skin color objects effectively. This paper proposes a new hand gesture segmentation method combined improved kalman filter and TSL skin color model, which efficiently solve the problem that the accuracy and efficiency could not be positively related to each other in traditional hand gesture segmentation. Firstly, use improved kalman filter to pre-judge the hand position for the sake of decreasing the interference of the similar skin color. Secondly, use TSL skin color model to realize hand gesture regions. Finally, holes and isolated small targets are removed by morphological approach. This novel approach could obtain a better segmentation.