By Topic

A fast object detection algorithm using motion-based region of interest determination

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

3 Author(s)
Anbu, A. ; Motorola India Electron. Ltd, Kanpur, India ; Agarwal, G. ; Srivastava, G.

We present a fast algorithm for achieving motion-based object detection in an image sequence. While in most existing object-detection algorithms, segmentation of the image is done as the first step followed by grouping of segments, the proposed algorithm first uses motion information to identify what we call a region of interest. Segmentation (which is computationally very expensive) is done only within a square of interest (whose area is smaller than that of the entire image), which ensures a speed up. The segments are then combined to obtain the final segment, which closely matches the shape of the object to be detected. Since the square of interest is always smaller than the image, the proposed algorithm is 2 to 4 times faster than every existing algorithm for object detection. In terms of the accuracy with which a desired object is detected, the performance of our algorithm is comparable to existing algorithms.

Published in:

Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom

Date of Conference: