Real time gestures recognition based on Hidden Markov Models; Mechanical Engineering, Automation and Control Systems (MEACS)

Real time gestures recognition based on Hidden Markov Models; Mechanical Engineering, Automation and Control Systems (MEACS)

Opis bibliograficzny
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [3 p.]
1. autor: Bauer А.
Streszczenie: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
Język:angielski
Wydane: 2014
Hasła przedmiotowe:
электронный ресурс
труды учёных ТПУ
Hel
gestures
Viola-Jones
Hog-descriptors
HMM
gestures database
распознавание
жесты
реальное время
марковские модели
Dostęp online:http://dx.doi.org/10.1109/MEACS.2014.6986849
Format: Elektroniczne Rozdział
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638965
Opis
Streszczenie: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
DOI:10.1109/MEACS.2014.6986849

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