• Rashmi Kiran Nemade
• Dr. P. M. Mahajan

This paper proposes a novel approach to create an automated visual surveillance system which is very efficient in detecting and tracking moving objects in a without any apriori information about the captured scene. The paper evaluates two methods for detection and tracking of moving objects. The background subtraction method is the common method of motion detection. It is a technology that uses the difference of the current image and the background image to detect the motion region, and it is generally able to provide data included object information. The background image is subtracted from the current frame. The second method created a motion-based system for detecting and tracking multiple moving objects. The detection of moving objects uses a background subtraction algorithm based on Gaussian mixture models. Morphological operations are applied to the resulting foreground mask to eliminate noise. Finally, blob analysis detects groups of connected pixels, which are likely to correspond to moving objects. The association of detections to the same object is based solely on motion. The motion of each track is estimated by a Kalman filter. The filter is used to predict the track's location in each frame, and determine the likelihood of each detection being assigned to each track. The performance is evaluated in terms of execution time for different videos under different circumstances. The performance evaluation results demonstrated that motion based video object detection method need more time as compared to background subtraction method. The background substraction method is more effective for detection and tracking of moving objects.

visual surveillance system, background subtraction, motion-based system, Kalman filter

"Motion Detection And Video Survillance Of Human Being Using Image Processing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.512-517, June 2019, Available :http://www.jetir.org/papers/JETIR1907R83.pdf

"Motion Detection And Video Survillance Of Human Being Using Image Processing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp512-517, June 2019, Available at : http://www.jetir.org/papers/JETIR1907R83.pdf