By Topic

On tuning of self-quotient ε-filter and support vector machine and its application to noise robust human detection

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

1 Author(s)
Matsumoto, M. ; Univ. of Electro-Commun., Chofu, Japan

This paper introduces a tuning algorithm of self-quotient ε-filter (SQEF) and support vector machine (SVM), and its application to noise robust human detection combining SQEF, histograms of oriented gradients (HOG), and SVM. Although human detection combining HOG and SVM is a powerful approach, as it uses local intensity gradients, it is difficult to handle noise corrupted images. On the other hand, although human detection combining SQEF, HOG and SVM can realize noise robust human detection, SQEF requires manual parameter setting. Our aim is not only to set the parameter of self-quotient e-filter but also to train SVM by using numerous images without noise and a small amount of images with noise.

Published in:

Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on

Date of Conference:

22-27 May 2011