| Issue |
EPJ Web Conf.
Volume 173, 2018
Mathematical Modeling and Computational Physics 2017 (MMCP 2017)
|
|
|---|---|---|
| Article Number | 05016 | |
| Number of page(s) | 4 | |
| Section | Computing Tools and Software Services | |
| DOI | https://doi.org/10.1051/epjconf/201817305016 | |
| Published online | 14 February 2018 | |
https://doi.org/10.1051/epjconf/201817305016
Object Classificators Using the AdaBoost Algorithm and Neural Networks
1 OOO «Videointellect», 33 Pravda St, office 11, 141981 Dubna, Moscow Region, Russian Federation
2 The Laboratory of Information Technologies, JINR,
6 Joliot-Curie, 141980 Dubna, Moscow Region, Russian Federation
3 Institute of Experimental Physics, Slovak Academy of Sciences Watsonova 47, 04001 Košice, Slovak Republic
* e-mail: alexey.stadnik@intellect.video
** e-mail: pavel.sazhin@intellect.video
*** e-mail: drhnatic@drhnatic.com
Published online: 14 February 2018
The construction of image object detectors is still a relevant task, due to dynamic developments in the field of computer vision. In this work, we combined neural network technologies with existing data processing algorithms to obtain effective object classifiers. We demonstrate our approach on the example of face detection.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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