By Topic

Image Retrieval of First-Person Vision for Pedestrian Navigation in Urban Area

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 $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)
Yoshinari Kameda ; Grad. Sch. of Syst. & Inf. Eng., Univ. of Tsukuba, Tsukuba, Japan ; Yuichi Ohta

We propose a new computer vision approach to locate a walking pedestrian by a camera image of first-person vision in practical situation. We assume reference points have been registered with other first-person vision images. We utilize SURF and define seven matching criteria that derive from the property of first-person vision so that it rejects false matching. We have implemented a preliminary system that can respond to a query within 1/2 seconds for a path of approximately 1 km long around Tokyo downtown area where pedestrians and vehicles are always in images.

Published in:

Pattern Recognition (ICPR), 2010 20th International Conference on

Date of Conference:

23-26 Aug. 2010