Please use this identifier to cite or link to this item: https://doi.org/10.1109/VR.2010.5444787
Title: A real-time multi-cue hand tracking algorithm based on computer vision
Authors: Pan, Z.
Li, Y.
Zhang, M.
Sun, C.
Guo, K.
Tang, X.
Zhou, S.Z. 
Keywords: 3D interaction
Gesture detection
H.5.2 [information interfaces and presentation]: user interfaces - theory and methods
Hand tracking
I.4.8 [image processing and computer vision]: scene analysis - tracking
Issue Date: 2010
Source: Pan, Z.,Li, Y.,Zhang, M.,Sun, C.,Guo, K.,Tang, X.,Zhou, S.Z. (2010). A real-time multi-cue hand tracking algorithm based on computer vision. Proceedings - IEEE Virtual Reality : 219-222. ScholarBank@NUS Repository. https://doi.org/10.1109/VR.2010.5444787
Abstract: Although hand tracking algorithm has been widely used in virtual reality and HCI system, it is still a challenging problem in visionbased research area. Due to the robustness and real-time requirements in VR applications, most hand tracking algorithms require special device to achieve satisfactory results. In this paper, we propose an easy-to-use and inexpensive approach to track the hands accurately with a single normal webcam. Outstretched hand is detected by contour & curvature based detection techniques to initialize the tracking region. Robust multi-cue hand tracking is then achieved by velocity-weighted features and color cue. Experiments show that the proposed multi-cue hand tracking approach achieves continuous real-time results even for the situation of cluttered background. The approach fulfills the speed and accuracy requirements of frontal-view vision-based human computer interactions. ©2010 IEEE.
Source Title: Proceedings - IEEE Virtual Reality
URI: http://scholarbank.nus.edu.sg/handle/10635/69036
ISBN: 9781424462582
DOI: 10.1109/VR.2010.5444787
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