PERFORMANCE OF ADAPTIVE TRACKING ALGORITHMS

Janeth Cruz, Leopoldo Altamirano, Josué Pedroza

Abstract

This paper compares the performance of adaptive trackers based on multiple algorithms. The aim of using multiple algorithms is to increase the robustness of the trackers under varying conditions. We perform two estimation algorithms UKF and IMM to measure the performance of tracking on outdoor scenes with occlusions. The purpose of this paper is to measure and evaluate tracker reliability for be able to determine the position of a target. The performance is evaluated using metrics related to truth track. We give a positional evaluation and statistics values of the performance of visual tracking systems, which adapt to changing environments.

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Paper Citation


in Harvard Style

Cruz J., Altamirano L. and Pedroza J. (2006). PERFORMANCE OF ADAPTIVE TRACKING ALGORITHMS . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 229-236. DOI: 10.5220/0001377702290236


in Bibtex Style

@conference{visapp06,
author={Janeth Cruz and Leopoldo Altamirano and Josué Pedroza},
title={PERFORMANCE OF ADAPTIVE TRACKING ALGORITHMS},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={229-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001377702290236},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - PERFORMANCE OF ADAPTIVE TRACKING ALGORITHMS
SN - 972-8865-40-6
AU - Cruz J.
AU - Altamirano L.
AU - Pedroza J.
PY - 2006
SP - 229
EP - 236
DO - 10.5220/0001377702290236