The use of correlation analysis in the algorithm of dynamic gestures recognition in video sequence-Reference-Cited by-同舟云学术

The use of correlation analysis in the algorithm of dynamic gestures recognition in video sequence

Published:2019-06-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Conference on Engineering and MIS
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Author:

Kudubayeva Saule¹,Amangeldy Nurzada¹,Sundetbayeva Ainur²,Sarinova Assiya³

Affiliation:

1. L.N.Gumilyov Eurasian National University, Astana, Kazakhstan

2. Pedagogical State institute, Arkalyk, Kazakhstan

3. S. Toraighyrov Pavlodar State University, Pavlodar, Kazakhstan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3330431.3330439

Reference11 articles.

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2. www.surdo-online.kz/ www.surdo-online.kz/

3. Kudubayeva S. Ermagambetova G.N.. 2014. Parametric Representation of The Kazakh Gestural Speech. Specom 2014.Novi Sad. Serbia. Kudubayeva S. Ermagambetova G.N.. 2014. Parametric Representation of The Kazakh Gestural Speech. Specom 2014.Novi Sad. Serbia.

4. Viola P. and Jones M. 2001. Rapid object detection using a boosted cascade of simple features. IEEE Computer Society. Washington. USA. Viola P. and Jones M. 2001. Rapid object detection using a boosted cascade of simple features. IEEE Computer Society. Washington. USA.

5. Nguyen T.T. 2001. Real-time hand detection in a video stream using the signs of the Haar and the Adaboost classifier. Materials of the XIX All-Russian seminar 'Neuroinformatics its applications and data analysis.' Krasnoyarsk. Russia. Nguyen T.T. 2001. Real-time hand detection in a video stream using the signs of the Haar and the Adaboost classifier. Materials of the XIX All-Russian seminar 'Neuroinformatics its applications and data analysis.' Krasnoyarsk. Russia.

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