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
[1] Monali Chaudhari, Shanta Sondur, Gauresh Vanjare. «A review on Face Detection and study of Viola Jones method». International Journal of Computer Trends and Technology (IJCTT), 2015.
[2] Paul Viola , Michael Jones. “Rapid object detection using a boosted cascade of simple features”. Accepted conference on computer vision and pattern recognition. 2001.
[3] Paul Viola , Michael Jones. “Robust Real-time Object Detection”. International Journal of Computer Vision. 2004.
[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
[5] Спицын В. Г., Буй Тхи Тху Чанг, Фан Нгок Хоанг. "Распознавание лиц на основе применения метода Виолы-Джонса, вейвлет-преобразования и метода главных компонент". Томский политехнический университет, 2012.
2012.
[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]
[2] Paul Viola , Michael Jones. “Rapid object detection using a boosted cascade of simple features”. Accepted conference on computer vision and pattern recognition. 2001.
[3] Paul Viola , Michael Jones. “Robust Real-time Object Detection”. International Journal of Computer Vision. 2004.
[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
[5] Спицын В. Г., Буй Тхи Тху Чанг, Фан Нгок Хоанг. "Распознавание лиц на основе применения метода Виолы-Джонса, вейвлет-преобразования и метода главных компонент". Томский политехнический университет, 2012.
2012.
[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
Statistics
Abstract views: 426PDF downloads: 168
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
