INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCE AND - Volume 7, Issue 1, January 2018
Pages: 235-243
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Real Time Object Tracking in Surveillance System Using MATLAB
Author: Ms. Priya Chaudhari, Prof. K. S. Bhagat, Dr. J. P. Chaudhari
Category: Engineering, Science and Mathematics
Abstract:
In video surveillance, detection of moving objects from a video is important for object detection, target tracking, and behavior understanding. Detection of moving objects in video streams is the first relevant step of information and background subtraction is a very popular approach for foreground segmentation.. Nowadays CCTVs are installed at many places like banks safe. But the CCTV cameras continuously record the situations. Hence there is an unnecessary memory wastage if there is nothing happening in front of the camera. Also the CCTV system does not provide alerts of burglary happening at particular time. So there is a need of a system which will record the situation only if there is some movement happening in front of the camera.. By implementing the system in real time and testing the system on large number of long sequences, authenticated person can stop alert for fix time to enter into secured. Human motion Detection System is developed from the security point of view. The objective of Real Time Security System using Human Motion Detection is to develop a system that monitors the area in which it is being deployed. In Human motion detection System, web camera is applicable in the area where no one is permissible to enter, also where we need to detect if any motion has been done. We can use web camera for Human Motion Detection. The Camera is used to catch the live images of the area in which it is being implemented, if any object is moving. The captured images are stored for further work. The captured images are stored for further work. If motion is found in this video, the computer will start recording, buzz an alarm.
Keywords: Object detection, Background subtraction, Gaussian Mixture model, Real Time Video, Surveillance Camera.
References:
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