Detection of Hands-Raising Gestures Using Shape and Edge Features

摘要：

This paper introduces a method of hand-raising gestures detection in indoor environments, using shape and edge features. Past approaches have detected the gestures through recognizing the action for isolated or seated persons. Here, to deal with movements, non-rigidity and partially occlusions of human bodies, the gestures are detected by searching for raised hands and arms rather than recognizing the action. First, background subtraction is employed to obtain body silhouette. And then, according to the particular shape edge features of raised hands and arms, CR (candidate region) search, - transform based shape and GLAC edge features extraction and classification, are applied to find raised hands. The classification is implemented by a hierarchical detector which consists of four SVM classifiers. Experiments show that this method can detect hand-raising gestures well, even for moving persons in crowd.

作者: Hong Liu Xiaodong Duan Yuexian Zou Dengke Gao

作者单位: Key Laboratory of Machine Perception and Intelligence and Key Laboratory of Integrated Micro-system, Key Laboratory of Integrated Micro-system,Shenzhen Graduate School,Peking University,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1480-1483

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）