Robust Human Motion Detection and Tracking In Dynamic Background
Moiz A. Hussain1, G. U. Kharat2

1Moiz A. Hussain, Asst. Prof. Department of Electronics & Telecommunication Engineering, Amravati University, Anuradha Engineering College, Chikhli, India.
2Dr. G. U. Kharat, Principal, Pune University, Sharad Chandra Pawar College of Engineering , Otur, India.
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 1-3 | Volume-2, Issue-6, January 2013. | Retrieval Number: E1068112612/2013©BEIESP
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Abstract: Background subtraction is very important part of surveillance applications for successful segmentation of moving objects from video sequences. We present a novel & robust algorithm, for human motion detection and tracking in dynamic scenes based on background modelling technique to analyze the illumination change for detection & tracking of moving objects. Successive frame difference is taken and compared for the required set threshold for the changing pixel detection. Experimental result shows the high performance of the proposed method for human tracking in noisy backgrounds.
Keywords: Object detection, tracking, video survelliance, backgoround model, illumination change.