System Maintenance:
There may be intermittent impact on performance while updates are in progress. We apologize for the inconvenience.
By Topic

Using targets appearance to improve pedestrian classification with a laser scanner

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

2 Author(s)
Gate, G. ; Robot. Lab., Mines Paris (ParisTech), Paris ; Nashashibi, F.

Detecting and tracking pedestrians accurately is essential to design efficient and robust collision avoidance systems. But traditional approaches to pedestrian detection and tracking in dense urban environments suffer from tracking failures and wrong classifications. We propose in this paper a system that recursively estimates the true outlines of every tracked target using a set of segments called ldquoAppearancerdquo. Both the state and the true contours of each target are recursively estimated and can then be used for accurate classification. We show also that accurate information on target outlines allow for a meticulous occlusions computation and an enhanced data association. The performances of this new approach is assessed through a qualitative and quantitative comparison with a state of the art pedestrian detection algorithm.

Published in:

Intelligent Vehicles Symposium, 2008 IEEE

Date of Conference:

4-6 June 2008