Moving Object Detection Using MATLAB

Moving Object Detection Using MATLAB
Authors : Gottipati. Srinivas Babu
Publication Date: 30-08-2012


Author(s):  Gottipati. Srinivas Babu

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 6 (August- 2012)

e-ISSN:   2278-0181


Today Security is given very much importance and lot of electronic equipment is being used in security applications. Monitoring continuously the movements of persons or vehicles and reporting when predefined events take place is very common security applications. A human observation based system for implementing this has several disadvantages. In the olden days persons use to be employed for doing such observations. Decades before electronic cameras could solve the problem of man being physically present at such place. Instead man has to observe the camera”Ēs output on a TV and can detect when any expected events occur. The present day technology allows automatic detection based on predefined measures. In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications.


Number of Citations for this article:  Data not Available


Key Word(s):    


Number of Downloads:     18223

Call for Papers - May - 2017



                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book