Illumination insensitive template matching with hyperplanes

25Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Data-driven object tracking is very important for many vision based applications, because it does not require any previous knowledge about the object to be tracked. In the literature, template matching techniques have successfully been used to solve this task. One promising descendant of these techniques is the hyperplane approach, which is both fast and robust. Unfortunately, like other template matching algorithms, it is inherently sensitive to illumination changes. In this paper, we describe three methods that considerably improve the illumination insensitivity of the hyperplane approach, while retaining the capability of real-time tracking. Experiments conducted on real image sequences prove the efficiency of our enhancements. © Springer-Verlag Berlin Heidelberg 2003.

Cite

CITATION STYLE

APA

Gräßl, C., Zinßer, T., & Niemann, H. (2003). Illumination insensitive template matching with hyperplanes. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2781, 273–280. https://doi.org/10.1007/978-3-540-45243-0_36

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free