Priyank Shah

Work place: Charotar University of Science and technology, Gujarat, India



Research Interests: Image Processing, Computer Vision, Computer systems and computational processes, Software Organization and Properties, Software Development Process, Software Creation and Management, Software


Priyank Shah has received the B.E. degree in Electronics and Communication Engineering from Sardar Vallabhbhai Patel Institute Of Engineering & Technology,Vasad, Gujarat and presently pursuing M.Tech. in Communication System engineering from Charotar University of Science & Technology, Changa, Gujarat. His research interests include computer vision, image and video processing and Software Development.

Author Articles
Comprehensive Study and Comparative Analysis of Different Types of Background Sub-traction Algorithms

By Priyank Shah Hardik Modi

DOI:, Pub. Date: 8 Jul. 2014

There are many methods proposed for Back-ground Subtraction algorithm in past years. Background subtraction algorithm is widely used for real time moving object detection in video surveillance system. In this paper we have studied and implemented different types of meth-ods used for segmentation in Background subtraction algo-rithm with static camera. This paper gives good under-standing about procedure to obtain foreground using exist-ing common methods of Background Subtraction, their complexity, utility and also provide basics which will useful to improve performance in the future . First, we have explained the basic steps and procedure used in vision based moving object detection. Then, we have debriefed the common methods of background subtraction like Sim-ple method, statistical methods like Mean and Median filter, Frame Differencing and W4 System method, Running Gaussian Average and Gaussian Mixture Model and last is Eigenbackground Model. After that we have implemented all the above techniques on MATLAB software and show some experimental results for the same and compare them in terms of speed and complexity criteria.

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