@inproceedings{d831dc26cc1c4ff49793f731959396e6,
title = "Wrist localization in color images for hand gesture recognition",
abstract = "In this paper we present an extensive study of a two-stage algorithm for wrist localization in color images, which is an important and challenging, yet not extensively studied, step in gesture recognition systems. In the first stage of the algorithm, a color hand image is subject to skin segmentation. Secondly, the wrist is localized in a corresponding binarized skin probability map. In our twostage approach, the algorithms for both localization stages can be developed and compared separately. Here, we compare our propagation-based skin segmentation algorithm and real-time wrist localization algorithm with other state-of-the-art approaches based on our set of 414 color hand images using two independent sets of ground-truth data.",
keywords = "Gesture recognition, Skin detection, Skin segmentation, Wrist localization",
author = "Jakub Nalepa and Tomasz Grzejszczak and Michal Kawulok",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 3rd International Conference on Man-Machine Interactions, ICMMI 2013 ; Conference date: 22-10-2013 Through 25-10-2013",
year = "2014",
doi = "10.1007/978-3-319-02309-0\_8",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "79--86",
editor = "Aleksandra Gruca and Tadeusz Czach{\'o}rski and Stanis{\l}aw Kozielski and Tadeusz Czach{\'o}rski",
booktitle = "Man-Machine Interactions 3",
address = "Germany",
}