"Object Tracking by Normalized Cross Correlation and PCA Based Template" by M.H. Sidram and N. U. Bhajantri

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International Journal of Computer Science and Informatics

Article Title

Object Tracking by Normalized Cross Correlation and PCA Based Template Updating: Comparative Analysis

Authors

M.H. Sidram, Department of E & EE, Sri Jayachamarajendra College of Engineering , Mysore, Karnataka, India.Follow
N. U. Bhajantri, Department of Computer Science Engineering Government College of Engineering Chamarajnagar, Mysore District, Karnataka, INDIAFollow

Abstract

The principle behind to detect and track non-stationary object via a sequence of frames is addressed. The proposed strategy pushed the Normalized Cross-Correlation (NCCR) to track object by matching the template and updating the template is encouraged through Principal Component Analysis (PCA). This work remarked with exhaustive experiment and witnessed with comparative analysis over dataset related to outdoor environment. The system kernel reveals the capability to track the object and outcome is fairly acceptable to great extent under different light conditions.

Recommended Citation

Sidram, M.H. and Bhajantri, N. U. (2014) "Object Tracking by Normalized Cross Correlation and PCA Based Template Updating: Comparative Analysis," International Journal of Computer Science and Informatics: Vol. 3 : Iss. 3 , Article 8.
Available at: https://www.interscience.in/ijcsi/vol3/iss3/8

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