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Real-time hand detection using continuous skeletons

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Abstract

In this paper, a fast and reliable method for hand detection based on continuous skeletons approach is presented. It demonstrates real-time working speed and high detection accuracy (3–5% both FAR and FRR) on a large dataset (50 persons, 80 videos, 2322 frames). These make it suitable for use as a part of modern hand identification systems including mobile ones. Overall, the study shows that continuous skeletons approach can be used as prior for object and background color models in segmentation methods with supervised learning (e.g., interactive segmentation with seeds or abounding box).

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Authors and Affiliations

  1. Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow, 119991, Russia

    V. Chernyshov & L. Mestetskiy

Authors
  1. V. Chernyshov
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  2. L. Mestetskiy
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Correspondence to V. Chernyshov.

Additional information

This paper uses the materials of the report submitted at the 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, held on Koblenz, December 1–5, 2014 (OGRW-9-2014).

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Victor Chernyshov (born 1989) earned an MS in mathematics and cybernetics from Lomonosov Moscow State University (2011). He is now a Ph.D. candidate in the Department of Mathematical Forecast Methods at Lomonosov Moscow State University. The author of 5 papers on image analysis and hand biometrics. His current research interests include image analysis, hand biometrics, applied systems in data mining and computer vision.

Leonid Mestetskiy (born 1949) earned an MS in mathematics from Moscow State University (1971). Received Ph. D. degree (1982), D. Sc. degree (1992) in computer science, and professor degree in information technologies (1998). From 2000 he has been held a professorship in the Department of Mathematical Forecast Methods at Lomonosov Moscow State University, and since 2004 he has been a professor in the Department of Intelligent Systems at Moscow Institute of Physics and Technology. Also since 2004 he has been working as the head of the Informatics and Mathematics Department at the International University in Moscow. A Member of the Russian Academy of Natural Sciences (2004). The author of more than 150 papers on applied mathematics, modeling, computational geometry, computer graphics, image processing and recognition. Lectures on the basic courses “Image processing and recognition,” “Mathematical methods for pattern recognition,” and special courses “Mathematical methods in biometrics,” “Continuous morphological models and algorithms.”

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Chernyshov, V., Mestetskiy, L. Real-time hand detection using continuous skeletons. Pattern Recognit. Image Anal. 26, 368–373 (2016). https://doi.org/10.1134/S1054661816020048

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  • DOI: https://doi.org/10.1134/S1054661816020048

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