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  • 标题:A New Profile Shape Matching Stereovision Algorithm for Real-time Human Pose and Hand Gesture Recognition
  • 本地全文:下载
  • 作者:Dong Zhang ; Dah-Jye Lee ; Yung-Ping Chang
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2014
  • 卷号:11
  • DOI:10.5772/57515
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:This paper presents a new profile shape matching stereovision algorithm that is designed to extract 3D information in real time. This algorithm obtains 3D information by matching profile intensity shapes of each corresponding row of the stereo image pair. It detects the corresponding matching patterns of the intensity profile rather than the intensity values of individual pixels or pixels in a small neighbourhood. This approach reduces the effect of the intensity and colour variations caused by lighting differences. As with all real-time vision algorithms, there is always a trade-off between accuracy and processing speed. This algorithm achieves a balance between the two to produce accurate results for real-time applications. To demonstrate its performance, the proposed algorithm is tested for human pose and hand gesture recognition to control a smart phone and an entertainment system.
  • 关键词:Profile Shape Matching; Real-Time Stereovision; Human Pose and Gesture Estimation; Resource-Limited Systems
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