International Journal of Applied Engineering Research ISSN 0973-4562 Volume 9, Number 20 (2014) pp. 8097-8104 © Research India Publications http://www.ripublication.com Paper Code:26626 IJAER Moving Objects Detection for Video Surveillance Applications K. Eswar Chaitanya Department of Electronics and Communication VIGNAN’S Lara Institute of Technology and Sciences Vadlamudi, India eswarchaitu429@gmail.com G.Harish Department of Electronics and Communication VIGNAN’S Lara Institute of Technology and Sciences Vadlamudi, India harishgollaprolu@gmail.com B.Harish Department of Electronics and Communication VIGNAN’S Lara Institute of Technology and Sciences Vadlamudi, India 17harish@gmail.com Abstract Moving objects detection is a very important step in Video surveillance applications and background subtraction algorithms are suitable for these applications. In this paper Sobel edge detection and Background subtraction algorithms are used for tracking moving objects. Background subtraction method is the use of a continuous image subtraction. First of all video was compressed using DWT algorithm, to save memory and also it reduces the operational time. Then Sobel operator is used to get the edges of objects and Background subtraction algorithm is applied to separate moving region from Non-moving regions. To remove noise dynamic thresholding and then morphological operations were used and finally labeling was done along moving regions in video. Index Terms— Discrete wavelet transforms, sobel edge detection, background subtraction, thresholding.