MATLAB BASED INTELLIGENT VIDEO SURVEILLANCE SYSTEM

Authors

  • Arshad Y. Maniyar Electronics and Telecommunication Department, Government college of Engineering, Jalgaon
  • Ganesh K. Andurkar Electronics and Telecommunication Department, Government college of Engineering, Jalgaon

Keywords:

video surveillance, Background subtraction, feature extraction, human detection, ORL database

Abstract

Due to increase in criminal and terrorist activities, general social problems, providing the security to
citizens, private places, public places has become more important. Therefore watch for 24*7 is required in area of
automatic monitoring. The video surveillance system does this job as accurately as possible. The video surveillance
system described here is interfacing of camera and alarm system with the computer. Here the video is taken from camera
and the unwanted entities are identified using MATLAB and their actions are tracked and human is recognized using the
database. In the paper we studied the different phases of the system with their detail explanations. By using the image
background subtraction and Thresholding the blob is detected with the motion estimation. And using the Processed
Histogram based face recognition algorithm the human feature extraction and human recognition is done by matching
the features or histograms. And the final output is displayed on monitor and the alarm is raised.

Published

2015-04-25

How to Cite

Arshad Y. Maniyar, & Ganesh K. Andurkar. (2015). MATLAB BASED INTELLIGENT VIDEO SURVEILLANCE SYSTEM. International Journal of Advance Engineering and Research Development (IJAERD), 2(4), 454–549. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/701