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Automated Video Surveillance System For Human Motion Detection

Author(s):

monika domadia , NGI junagadh; Prof.Megha Mehta, NGI Junagadh

Keywords:

Motion Detection, Background Subtraction, Foreground Extraction.

Abstract

Automated video surveillance systems are most useful and important in the security field of today's world. Video is a base for higher level intelligence applications. Video surveillance is an important security asset to control theft, trespassing or traffic monitoring, banks, department stores, highways, crowded public places and borders. In this thesis, our objective is to design a complete framework able to automatically detect and recognize moving objects in video sequences acquired with a static camera. The aimed practical application for this framework is its use as an automatic intelligent video surveillance system. In video surveillance, detection of moving objects from a video is necessary for object classification, target tracking, activity recognition, as well as behavior understanding. Here so many methods are discussed for background subtraction & motion detection. Al New Proposed method also described here.

Other Details

Paper ID: IJSRDV2I1196
Published in: Volume : 2, Issue : 1
Publication Date: 01/04/2014
Page(s): 120-123

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