Object recognition on video from camera to computer
Oleksandr Cherednyk
oleksandr.cherendyk@gmail.comInstitute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland (Poland)
Elżbieta Miłosz
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland (Poland)
Abstract
The goal is to determine the effectiveness of object detection in a video using the camera for the computer. In the course of work studied and described the main methods of recognition of objects in the image, namely the use of artificial neural networks and techniques of Viola-Jones. For the study, based on the method of Viola-Jones, implemented the application for object recognition in video, as this method is effective for solving this problem. With this application, a study was conducted to determine the effectiveness of the method of viola-Jones to detect objects in the video.
Keywords:
Viola-Jones; gesture; recognitionReferences
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[4] Мурлин А. Г., Пиотровский Д. Л., Руденко Е. А., Янаева М. В. "Алгоритмы и методы обнаружения и распознавания жестов руки на видео в режиме реального времени". Научный журнал КубГАУ, 2014
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[6] https://commons.wikimedia.org/wiki/File:Neural_network.svg [13.12.2017]
[7] https://dic.academic.ru/dic.nsf/ruwiki/19743 [13.12.2017]
[8] https://geektimes.ru/post/74326/ [13.12.2017]
[9] https://habrahabr.ru/post/133826/ [13.12.2017]
[10] Метод Виолы Джонса как основа для распознавания лиц
https://habrahabr.ru/post/133826/ [13.12.2017]
[11] Применение нейросетей в распознавании изображений.
https://geektimes.ru/post/74326/ [13.12.2017]
Cherednyk, O., & Miłosz, E. (2018). Object recognition on video from camera to computer. Journal of Computer Sciences Institute, 8, 215–219. https://doi.org/10.35784/jcsi.682
Authors
Oleksandr Cherednykoleksandr.cherendyk@gmail.com
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland Poland
Authors
Elżbieta MiłoszInstitute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland Poland
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