Object recognition on video from camera to computer | Zendy

Oleksandr Cherednyk | Zendy; Elżbieta Miłosz | Zendy

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Object recognition on video from camera to computer

Author(s) -

Oleksandr Cherednyk,

Elżbieta Miłosz

Publication year - 2018

Publication title -

journal of computer sciences institute

Language(s) - English

Resource type - Journals

ISSN - 2544-0764

DOI - 10.35784/jcsi.682

Subject(s) - artificial intelligence , computer science , computer vision , viola–jones object detection framework , video camera , object (grammar) , cognitive neuroscience of visual object recognition , viola , video tracking , 3d single object recognition , object detection , artificial neural network , pattern recognition (psychology) , computer graphics (images) , facial recognition system , face detection , art , piano , art history

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.

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