Cart (Loading....) | Create Account
Close category search window

Detection and Classification of Moving Objects by Using Real Time Traffic Flux through Differential and Graphical Analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Mohana, H.S. ; Malnad Coll. of Eng., Hassan, India ; Ashwathakumar, M. ; Shivkumar, G. ; Manjunatha, K.C.

This paper is focussed on detection and classification of moving objects using differential and graphical techniques. The basic idea used is variation in the traffic flux density due to presence of objects in the scene. Accurate Traffic flux estimation will play vital role in object detection and classification. Dynamic selection of images from the sequence and detection and classification of objects implemented successfully in order to reduce the computation time. The designed technique are evaluated with 15 different video sequences and weighed thoroughly with simple confidence measures. In the present work we have achieved real time analysis with normal video rate. And for object classification computation we are taking specific frame gap which saves computational time. The result produced with this analysis is extremely good and beneficial in real time traffic control, detecting and classifying objects in urban areas. In the normal condition the average accuracy raised near to 97%.

Published in:

Computational Intelligence, Communication Systems and Networks, 2009. CICSYN '09. First International Conference on

Date of Conference:

23-25 July 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.