By Topic

Directing attention for traffic scene 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
$33 $33
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

5 Author(s)

Computer vision systems which must operate in real-time face one overriding problem before high-level recognition and analysis processes can be applied. Real-time image capture at any useful image resolution and frame-rate yields prodigious quantities of data. Image resolutions of 512×512 pixels or higher at 8 bits per pixel are commonly used for analysis and a frame rate possibly exceeding 25 fps is desirable for real-time applications. This results in data rates in excess of 6.4 Mbytes/sec. Data rates of this level challenge the most expensive processors while relatively inexpensive processors have no chance of coping. Parallel processor implementations of low-level image processing tasks is one approach to the problem, however complete parallelism is not possible because it requires too many processors and connections. Hence the need to reduce the quantity of data requiring analysis becomes a priority in any low-cost vision system. A method of achieving this is to extract the regions of interest in the scene, as these usually constitute a considerably lesser proportion of the whole image. The interest of a region is of course a problem specific measure. This paper therefore presents a problem independent approach to directing the attention of a vision system to those regions in the scene which are likely to be of interest. The regions of non-interest can then be discarded thereby drastically reducing the volume of data for further analysis

Published in:

Image Processing and its Applications, 1995., Fifth International Conference on

Date of Conference:

4-6 Jul 1995