计算机工程与应用2016，Vol.52Issue(20)：182-187,230,7.DOI:10.3778/j.issn.1002-8331.1512-0207
基于压缩感知的实时手势检测和跟踪算法
Real-time gesture detection and tracking algorithm based on com-pressive sensing
摘要
Abstract
Real-time detection and tracking of gesture based on computer vision is key technology in the human-computer interaction, many algorithms for detection and tracking of gesture have been investigated in recent decades, which consisted of detection and tracking algorithm as two independent modules. These algorithms are not applicable because they are easily impacted by the gesture posture, object occlusion, motion blur and external environment etc. In this paper, a novel algorithm for detection and tracking of gesture is proposed based on real time gesture detection and tracking, the main advantage compared with the traditional algorithm is that this proposed algorithm effectively fuses the results from detection and tracking modules. The proposed algorithm can initialize the gesture automatically and can recover by itself when the gesture is dropped. Experimental results show that the proposed algorithm can achieve rapid, accurate and continuous recognition of the gesture motion and meet the requirements of the human-computer interaction.关键词
压缩感知/手势识别/手势跟踪Key words
compressive sensing/gesture detection/gesture tracking分类
信息技术与安全科学引用本文复制引用
严权峰,王岳斌,白天,沈燕飞..基于压缩感知的实时手势检测和跟踪算法[J].计算机工程与应用,2016,52(20):182-187,230,7.基金项目
国家自然科学基金面上项目（No.61471343）。 （）
