Object recognition on video from camera to computer

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Published: Nov 30, 2018
DOI: https://doi.org/10.35784/jcsi.682
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DOI

https://doi.org/10.35784/jcsi.682

Authors

Oleksandr Cherednyk

oleksandr.cherendyk@gmail.com

Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland
Elżbieta Miłosz

e.milosz@pollub.pl

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; recognition

References

Article Details

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