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Conference Papers Year : 2009

Optimal Detection and Tracking of Feature Points using Mutual Information

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.
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Dates and versions

inria-00436742 , version 1 (27-11-2009)

Identifiers

  • HAL Id : inria-00436742 , version 1

Cite

A. Dame, Eric Marchand. Optimal Detection and Tracking of Feature Points using Mutual Information. IEEE Int. Conf. on Image Processing, ICIP'09, 2009, Cairo, Egypt, Egypt. ⟨inria-00436742⟩
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