Title: Template matching approach for automatic human body tracking in video

Authors: Mehrez Abdellaoui; Ali Douik

Addresses: Networked Objects Control and Communication Systems Laboratory, National Engineering School of Sousse, University of Sousse, Tunisia ' Networked Objects Control and Communication Systems Laboratory, National Engineering School of Sousse, University of Sousse, Tunisia

Abstract: In this paper a novel template matching approach is presented to achieve automatic human body tracking in video sequences. The developed method which is based on a special template matching algorithm applied on a set of interest points detected on the human body contour. The matching approach is based on different types of similarity measures applied on consecutive frames from videos. Each frame was attacked with different types of noise: luminosity variation and motion blur. This new approach considers different matching constraints such as: cross-matching, uniqueness constraint and interest point's appearances and disappearances between consecutive frames. The algorithm was validated on two different datasets and the obtained results are so encouraging with high values of matching rate and good tracking rate.

Keywords: interest points; template matching; human body tracking; good tracking rate; GTR; KTH dataset.

DOI: 10.1504/IJIEI.2018.094508

International Journal of Intelligent Engineering Informatics, 2018 Vol.6 No.5, pp.434 - 447

Received: 13 Jul 2017
Accepted: 23 Nov 2017

Published online: 24 Aug 2018 *

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