A Method of Dynamic Hand Gesture Detection Based on Local Background Updates and Skin Color Model

摘要：

Aim at the faults of the traditional background difference method based on Bayes Rule when detects motion hand gestures, such as the existence of interference regions, slow computing speed and so on. A method of dynamic hand gesture detection based on local background updates and skin color model is proposed in this paper. The skin color region in a single image is extracted through skin color model to remove interference objects, and computing speed is improved through local background updates. The experimental results show that this method can preferably detect out motion hand gestures even in complex background.

关键词： dynamic hand gesture detection local background updates skin color model background difference method

作者: Shuying Zhao Li Shen Wenjun Tan

作者单位: College of Information Science & Engineering Northeastern University Shenyang Liaoning, 110004, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 657-660

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）