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|Title:||A real-time multi-cue hand tracking algorithm based on computer vision|
H.5.2 [information interfaces and presentation]: user interfaces - theory and methods
I.4.8 [image processing and computer vision]: scene analysis - tracking
|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|
|Appears in Collections:||Staff Publications|
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