Real time Background Subtraction techniques for detection of moving objects in video surveillance system

Author(s):  
E. Komagal ◽  
Arthy Vinodhini ◽  
Archana ◽  
Bricilla
2015 ◽  
Vol 738-739 ◽  
pp. 779-783
Author(s):  
Jin Hua Sun ◽  
Cui Hua Tian

In view of the problems existed in moving object detection in video surveillance system, background subtraction method is adopted and combined with Surendra algorithm for background modeling, an algorithm of detecting moving object from video is proposed, and OpenCV programming is adopted in Visual c ++ 6.0 for implementation. Experimental results indicate that the algorithm can accurately detect and identify moving object in video by reading the image sequence of surveillance video, the validity of the algorithm is verified.


2015 ◽  
Vol 42 (21) ◽  
pp. 7991-8005 ◽  
Author(s):  
Roberto Arroyo ◽  
J. Javier Yebes ◽  
Luis M. Bergasa ◽  
Iván G. Daza ◽  
Javier Almazán

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