Dame09b
A. Dame, E. Marchand. Optimal Detection and Tracking of Feature Points using Mutual Information. In IEEE Int. Conf. on Image Processing, ICIP'09, Cairo, Egypt, November 2009.
Download [help]
Download paper:
Doi page 
Download Hal paper:
Download paper:
Adobe portable document (pdf) 
Copyright notice:
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2024, Projet Lagadic/Rainbow
Abstract
This paper proposes a new way to achieve feature point tracking using the entropy of the image. Sum of Squared Differences (SSD) is widely considered in differential trackers such as the KLT. Here, we consider another metric called Mutual Information (MI), which is far less sensitive to changes in the lighting condition and to a wide class of non-linear image transformation. Since mutual-information is used as an energy function to be maximized to track each points, a new feature selection, which is optimal for this metric, is proposed. Results under various complex conditions are presented. Comparison with the classical KLT tracker are proposed
Contact
BibTex Reference
@InProceedings{Dame09b,
Author = {Dame, A. and Marchand, E.},
Title = {Optimal Detection and Tracking of Feature Points using Mutual Information},
BookTitle = {IEEE Int. Conf. on Image Processing, ICIP'09},
Address = {Cairo, Egypt},
Month = {November},
Year = {2009}
}
EndNote Reference [help]
Get EndNote Reference (.ref)