"A Comparative Analysis of Kernel-Based Target Tracking Methods using D" by Nirja Magoch Thakur and MM Kuber

International Journal of Computer Science and Informatics

Article Title

A Comparative Analysis of Kernel-Based Target Tracking Methods using Different Colour Feature Based Target Models

Authors

Nirja Magoch Thakur, Department of Computer Engineering, Defence Institute of Advanced Technology, Pune, IndiaFollow
MM Kuber, Department of Computer Engineering, Defense Institute of Advanced Technology, PuneFollow

Abstract

An effective target modeling is the root of a robust and efficient tracking system. Color feature is widely used feature space for target modeling in real time tracking applications because of its computational efficiency and invariance towards change in shape, scale and rotation. The effective use of this feature with kernel-based target tracking can lead to a robust tracking system. This paper provides a comparative analysis of the performance of three variants of kernel-based tracking system using color feature. The simulation results show that the target modeling using transformed background weighted target model will perform efficiently when initialized target has similar color feature with background while the combination of color-texture will be more accurate and robust when texture features are prominently present.

Recommended Citation

Thakur, Nirja Magoch and Kuber, MM (2012) "A Comparative Analysis of Kernel-Based Target Tracking Methods using Different Colour Feature Based Target Models," International Journal of Computer Science and Informatics: Vol. 2: Iss. 2, Article 8.
DOI: 10.47893/IJCSI.2012.1074
Available at: https://www.interscience.in/ijcsi/vol2/iss2/8

DOI

10.47893/IJCSI.2012.1074

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