A Literature Survey on Applications of Image Processing for Video Surveillance


Authors : Preeti Agrawal , Ajay Khunteta.

Volume/Issue : Volume 2 - 2017, Issue 1 - January

Google Scholar : https://goo.gl/SkbhsC

Scribd : https://goo.gl/k75zfz

Abstract : Object detection and tracking are important and challenging tasks in lots of machine vision applications equivalent to surveillance, auto navigation, and self-sustaining robot navigation. Video surveillance in a dynamic atmosphere, primarily for people and automobiles, is, without a doubt, one of the popular rigorous study subjects matters in machine vision. It’s a fundamental science to combat in opposition to terrorism, crime, public safeguard and for efficient management of visitors. In this article we have surveyed.

Keywords : object detection, tracking, Kalman filter, occlusion, image processing.

Object detection and tracking are important and challenging tasks in lots of machine vision applications equivalent to surveillance, auto navigation, and self-sustaining robot navigation. Video surveillance in a dynamic atmosphere, primarily for people and automobiles, is, without a doubt, one of the popular rigorous study subjects matters in machine vision. It’s a fundamental science to combat in opposition to terrorism, crime, public safeguard and for efficient management of visitors. In this article we have surveyed.

Keywords : object detection, tracking, Kalman filter, occlusion, image processing.

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