Abstract
This paper is focused on wrist localization which is an important step in recognizing hand gestures. While there are many methods for detecting hand feature points as well as for estimating the hand pose, the majority of them assume that the palm region is given and ignore the wrist detection step. However, despite it is a required operation if the gesture recognition is supposed to be automatic, wrist localization has not been given much attention in the literature. Here, we propose a fast, yet effective method for wrist localization and we present the evaluation procedure based on our set of 899 hand images with ground-truth data. To the best of our knowledge, such a quantitative analysis of this problem has not been published so far.
This work has been supported by the Polish Ministry of Science and Higher Education under research grant no. IP2011 023071 from the Science Budget 2012–2013.
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Grzejszczak, T., Nalepa, J., Kawulok, M. (2013). Real-Time Wrist Localization in Hand Silhouettes. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_43
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DOI: https://doi.org/10.1007/978-3-319-00969-8_43
Publisher Name: Springer, Heidelberg
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