Real time gestures recognition based on Hidden Markov Models

Bibliographic Details
Parent link:	Mechanical Engineering, Automation and Control Systems (MEACS): proceedings of the International Conference, Tomsk, 16-18 October, 2014/ National Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE). [3 p.].— , 2014
Main Author:	Bauer А.
Summary:	Title screen This paper describes a method of Human-Computer interaction based on using video-stream. This method applies Viola-Jones algorithm and Hidden Markov models for gestures capturing and recognition. Режим доступа: по договору с организацией-держателем ресурса
Published:	2014
Subjects:	электронный ресурс труды учёных ТПУ Hel gestures Viola-Jones Hog-descriptors HMM gestures database распознавание жесты реальное время марковские модели
Online Access:	http://dx.doi.org/10.1109/MEACS.2014.6986849
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638965

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