Moving Object Detection in Video Surveillance System

Authors: Chetan M Turkane, V D Nagrale

DOI: https://doi.org/10.17605/OSF.IO/V8FCZ

Short DOI: https://doi.org/ggmpbd

Country: India

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Abstract: The analysis of human body motion is an important method in which computer vision combines with bio-mechanics. This method is widely used in motion detection, motion analysis, intelligent control and many other fields. In the analysis of human body motion; the moving human body detection is important part. The moving human body is detected from the background image in video sequences. Here the new method for the moving object detection based on background subtraction is defined by establishing a reliable background updating model which uses a dynamic optimization threshold method to obtain a more complete moving object. After getting moving object to remove the noise morphological filtering is done. The noise is in form of disturbances which present in the background. For removing the effect of shadow contour projection analysis is combined with the shape analysis, so that moving human body detection is done more accurately and reliably. The Background Subtraction method is accurate, faster and fits in detecting real time environment.

Keywords: moving object detection, background subtraction

Paper Id: 322

Published On: 2014-01-10

Published In: Volume 2, Issue 1, January-February 2014

Cite This: Moving Object Detection in Video Surveillance System - Chetan M Turkane, V D Nagrale - IJIRMPS Volume 2, Issue 1, January-February 2014. DOI 10.17605/OSF.IO/V8FCZ

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