Title :
Real time Background Subtraction techniques for detection of moving objects in video surveillance system
Author :
Komagal, E. ; Vinodhini, Arthy ; Srinivasan, A. ; Ekava, Bricilla
Author_Institution :
Velammal Coll. of Eng. & Tech., Madurai, India
Abstract :
Background Subtraction is one of the important image processing steps for video surveillance and many computer vision problems such as recognition, classification, activity analysis & tracking. Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. This paper deals with the performance of different techniques of Background Subtraction. Mainly there are three features has been extracted from each moving objects such as centroid, area, average luminance. The proposed approach compare the Frame difference, Approximate Median and Mixture of Gaussian method and this attempt proves that the chosen method has good performance under dynamic circumstances for real time tracking. Finally the similarity function is applied to tracking.
Keywords :
Gaussian processes; approximation theory; feature extraction; image motion analysis; object detection; video signal processing; video surveillance; approximate median; computer vision problem; feature extraction; frame difference; image activity analysis; image activity tracking; image classification; image processing; image recognition; information extraction; mixture-of-Gaussian method; moving object detection; realtime background subtraction technique; similarity function; video stream; video surveillance system; Approximation algorithms; Image color analysis; Mathematical model; Object recognition; Real time systems; Streaming media; Subtraction techniques; Background Subtraction; Object detection; Thresholding;
Conference_Titel :
Computing, Communication and Applications (ICCCA), 2012 International Conference on
Conference_Location :
Dindigul, Tamilnadu
Print_ISBN :
978-1-4673-0270-8
DOI :
10.1109/ICCCA.2012.6179191
