Real-time infrared object tracking based on mean shift

8Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The mean shift algorithm is an efficient method for tracking object in the color image sequence. However, in the infrared object-tracking scenario, there is a singular feature space, i.e. the grey space, for representing the infrared object. Due to the lack of the information for the object representation, the object tracking based on the mean shift algorithm may be lost in the infrared sequence. To overcome this disadvantage, we propose a new scheme that is to construct a cascade grey space. The experimental results performed on two different infrared image sequences show our new scheme is efficient and robust for the infrared object tracking. © Springer-Verlag 2004.

Cite

CITATION STYLE

APA

Jian, C., & Jie, Y. (2004). Real-time infrared object tracking based on mean shift. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3287, 45–52. https://doi.org/10.1007/978-3-540-30463-0_5

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