By Topic

Enhanced people detection combining appearance and motion information

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 $31
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)
García-Martín, A. ; Video Process. & Understanding Lab., Univ. Autonoma de Madrid, Madrid, Spain ; Martínez, J.M.

The combination of two of the most recent people detectors from the state of the art is proposed. It is already known that the combination of independent information sources is useful for any detection task. In relation to people detection, there are two main discriminative information sources that characterise a person: appearance and motion. Proposed is the combination of two recent approaches based on both information sources. Experimental results over an extensive dataset show that the proposed combination significantly improves the results.

Published in:

Electronics Letters  (Volume:49 ,  Issue: 4 )