Abstract
Driven by the wide usage of smart devices today, gesture control with normal cameras is in great need to be studied further, especially in healthcare sector, for example, patient monitoring and rehabilitation. This paper proposes a practical hand tracking method to tackle the related challenges including efficiency and robustness. Based on an efficient framework which integrates segmentation and tracking, several enhancements are proposed for a robust hand chasing. Experiments on both PC and android smartphones prove the proposed method is efficient and robust.
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Liu, Y., Chiu, M.Y., Li, H.L., Wu, K.H., Lei, Z., Ding, Q. (2015). A Real Time Robust Hand Tracking Method with Normal Cameras. In: Zha, H., Chen, X., Wang, L., Miao, Q. (eds) Computer Vision. CCCV 2015. Communications in Computer and Information Science, vol 546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48558-3_6
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DOI: https://doi.org/10.1007/978-3-662-48558-3_6
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