Motion Object Detection Using Mean Square Error Method


Authors : Trupti K .Barsagade ,Prof .D. T. Salunke , Punam V. Bitake, Sandhya B. Kendre, Shubhangi J. Kambale.

Volume/Issue : Volume 2 - 2017, Issue 5 - May

Google Scholar : https://goo.gl/ElsBcp

Scribd : https://goo.gl/76sMDS

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Smart CCTV (Closed-Circuit Television) technology has increasingly been developed in the last few years to judge the situation and notify the administer or take immediate action for security and surveillance motives. Earlier, the Difference Method (FDM),Background Subtraction Method (BSM), and Adaptive Background Subtraction Method (ABSM) is used for motion object detection but these methods could not recognize rapid scene changes or an object does not move relatively for a long time. To solve such problem , we proposed a novel moving object detection method which showed high performance with regard to the MSE(Mean Squared Error ) and the accuracy of detecting the moving object contours compared to other existing methods. It also reduces the time complexity and provides the accuracy .It is also good for observation of many places at the same time with only a single CCTV system.

Keywords : Motion Detection, Video Frame, Background Difference, Embedded system Application.

CALL FOR PAPERS


Paper Submission Last Date
30 - September - 2021

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe