Abstract
Hand detection and gestures recognition have become very popular in recent human-computer interaction systems. Although several methods of hand detection have been proposed in the literature, they exist few methods that use the wrist as a factor of detection, others impose constraints on the length of the sleeves and on the orientation of the hand. In this work, we present a new two-stage algorithm of wrist localization designed for hand detection and gestures recognition systems. The first stage of the algorithm consists in separating the skin region containing the hand from the background, and in the second stage, the wrist is localized from the resulted skin mask. The main contribution of the proposed method is based on the analysis of corners along the contour of the skin masks to localize the wrist emplacement. Based on an evaluation on 437 color images with their ground-truth and three sets of skin masks, we compared our method with other efficient methods of literature and the results obtained were very satisfactory.
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Binh N, Ejima T (2014) Real-Time Hand Gesture Recognition Using Finger Segmentation. Handawi Publ Corp Sci World J 2014:820–824
Cerlinca TI, Pentiuc SG (2011) Robust 3D hand detection for gestures recognition. Stud Comput Intell 382:259–264. doi:10.1007/978-3-642-24013-3_27
Choi J, Seo B, Park J (2009) Robust Hand Detection for Augmented Reality Interface. In: Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry. ACM, Yokohama, Japan December 14–15, 2009, pp. 319–322
Erol A, Bebis G, Nicolescu M, et al. (2007) Vision-based hand pose estimation: a review. Comput Vis Image Underst 108:52–73. doi:10.1016/j.cviu.2006.10.012
Grzejszczak T, Nalepa J, Kawulok M (2013) Real-Time WristLocalization in Hand Silhouettes. In: Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Vol 226, pp. 439–449
Grzejszczak T, Kawulok M, Galuszka A (2015) Hand landmarks detection and localization in color images. Multimed Tools Appl. doi:10.1007/s11042–015–2934-5
Jones MJ, Rehg JM (2002) Statistical color models with application to skin detection. Int J Comput Vis 46:81–96. doi:10.1023/A:1013200319198
Jun C, Wenjun H, Qing S (2011) Binocular Vision-Based Position and Pose of Hand Detection and Tracking in Space. International Conference, ICICIS 2011, Chongqing, China, January 8–9. Vol 134, pp. 668–675
Kakumanu P, Makrogiannis S, Bourbakis N (2007) A survey of skin-color modeling and detection methods. Pattern Recogn 40:1106–1122. doi:10.1016/j.patcog.2006.06.010
Kawulok M (2013) Fast propagation-based skin regions segmentation in color images. 2013 10th IEEE Int Conf Work Autom Face Gesture Recognition, FG 2013. doi:10.1109/FG.2013.6553733
Kawulok M, Kawulok J, Nalepa J, Smolka B (2014) Self-adaptive algorithm for segmenting skin regions. EURASIP J Adv Signal Process:1–22. doi:10.1186/1687-6180-2014-170
Kerdvibulvech C (2014) A methodology for hand and finger motion analysis using adaptive probabilistic models. EURASIP J Embed Syst 2014:18. doi:10.1186/s13639–014–0018-7
Keskin C, Aran O, Akarun L (2005) Real Time Gestural Interface for Generic Applications. In: Signal Processing Conference IEEE, 13th European, Antalya, pp 1–4
Licsar A, Sziranyi T (2004) Hand gesture recognition in camera-projector system. Lect Notes Comput Sci:83–93. doi:10.1007/b97917
Luo Z (2013) Survey of Corner Detection Techniques in Image Processing. Int J Recent Technol Eng 2:184–185
Mao G-Z, Wu Y-L, Hor M-K, Tang C-Y (2009) Real-Time Hand Detection and Tracking against Complex Background. 2009 Fifth Int Conf Intell Inf Hiding Multimed Signal Process 905–908. doi:10.1109/IIH-MSP.2009.133
Mittal A, Zisserman A, Torr P (2011) Hand detection using multiple proposals. Procedings of the British Machine Vision Conference 2011 75.1–75.11. doi:10.5244/C.25.75 BMVA Press, Scotland, UK
Nagarajan S, Subashini T, Ramalingam V (2012) Vision Based Real Time Finger Counter for Hand Gesture Recognition. CpmrOrg.in 2:1–5.
Nelpa J, Grzejszczak T, Kawulok M (2014) Wrist Localization in Color Images For Hand Gesture Recognition. Man-Machine Interact 3(242):123–130. doi:10.1007/978–3–319-02309-0
Noreen U, Jamil M, Ahmad N (2016) Hand Detection Using HSV Model. Int J Sci Technol Res 5:195–197
Patel TP, Panchal SR (2014) Corner Detection Techniques : An Introductory Survey. Int J Eng Dev Res 2:3680–3686
Paulson B, Cummings D, Hammond T (2011) Object interaction detection using hand posture cues in an office setting. Int J Hum Comput Stud 69:19–29. doi:10.1016/j.ijhcs.2010.09.003
Qiu-yu Z, Jun-chi L, Mo-yi Z, et al. (2015) Hand gesture segmentation method based on YCbCr color space and K-means clustering. Int J signal process image process Pattern Recogn 8:105–116
Medjram S, Babahenini MC, Mohamed Benali Y, Abdelmalik T-A (2016) Improving the Method of Wrist Localization Local Minimum-Besed for Hand Detection. In: Modelling and Implementation of Complex Systems. Springer, Constantine, Algeria, pp. 153–163
Song Z, Yang H, Zhao Y, Zheng F (2010) Hand detection and gesture recognition exploit motion times image in complicate scenarios. Advances in Visual Computing 6th International Symposium, ISVC 2010, Las Vegas, NV, USA. Vol 6454, pp. 628–636
Stergiopoulou E, Papamarkos NÃ (2009) Engineering applications of artificial intelligence hand gesture recognition using a neural network shape fitting technique. Eng Appl Artif Intell 22:1141–1158. doi:10.1016/j.engappai.2009.03.008
Suksil T, Chalidabhongse TH (2013) Hand detection and feature extraction for static Thai Sign Language recognition. Proc 7th Int Conf Ubiquitous Inf Manag Commun - ICUIMC ‘13 1–6. doi:10.1145/2448556.2448579
Thuy Thi N, Dang Nguyen B, Bischof H (2008) An active boosting-based learning framework for real-time hand detection. 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition, Amsterdam, 1–6. doi:10.1109/AFGR.2008.4813315
Toni B, Darko J, (2012) A robust hand detection and tracking algorithm with application to natural user interface. MIPRO, 2012 Proceedings of the 35th International Convention 1768–1774, IEEE, Opatija, Croatia.
Trigueiros P, Ribeiro F, Reis LP (2014) Vision-Based Portuguese Sign Language Recognition System. doi:10.1007/978–3–319-05951-8
Vidya K, Deryl R, Dinesh K, et al. (2014) Enhancing hand interaction patterns for virtual objects in mobile augmented reality using marker-less tracking. In: International Conference on Computing for Sustainable Global Development, INDIACom 2014, IEEE, New Delhi India, pp 705–709
Wang RY, Popović J (2009) Real-time hand-tracking with a color glove. ACM Trans Graph 28:1. doi:10.1145/1531326.1531369
Wang YR, Lin WH, Yang L (2015) An improved hand detection by employing corner detector. Proc - Int Conf Mach Learn Cybern 1:414–419. doi:10.1109/ICMLC.2014.7009151
Xiao B, Xu XM, QP M (2010) Real-time hand detection and tracking using LBP features. 6th International Conference, ADMA 2010, Chongqing, China, November 19-21. Vol 6441, pp. 282–289
Xie S, Pan J (2011) Hand Detection Using Robust Color Correction and Gaussian Mixture Model. In: 2011 Sixth International Conference on Image and Graphics IEEE, Hefei, Anhui, pp 553–557
Yeo HS, Lee BG, Lim H (2013) Hand tracking and gesture recognition system for human-computer interaction using low-cost hardware. Multimed Tools Appl:1–29. doi:10.1007/s11042-013-1501-1
Yogarajah P, Condell J, Curran K, et al. (2010) A dynamic threshold approach for skin segmentation in color images. Proc - Int Conf Image Process ICIP:2225–2228. doi:10.1109/ICIP.2010.5652798
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Medjram, S., Babahenini, M.C., Taleb-Ahmed, A. et al. Real-time wrist localization in color images based on corner analysis. Multimed Tools Appl 76, 15297–15324 (2017). https://doi.org/10.1007/s11042-016-3820-5
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DOI: https://doi.org/10.1007/s11042-016-3820-5