Vision-Based Algorithm for Real-Time Hand Posture Recognition

نویسندگان

  • Bojan MARKOVICH
  • Milan TUBA
چکیده

Importance of human-computer interaction (HCI) systems is increasing since they revolutionized the way people interact with computers. Gesture and posture analysis, especially hand gesture and posture recognition, is one of the more recent areas in the HCI with ever widening field of applications. In this paper we propose an algorithm for hand posture recognition that is based on skin detection and Hu moments. Our algorithm is invariant to the hand position and experiments proved it to be robust with high percentage of posture recognition. Algorithm works in real-time and can successfully be used in variety of applications. Key-words: Hand posture recognition, Hand segmentation, Posture-based HCI, Image processing

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تاریخ انتشار 2012