MEAN SHIFT OBJECT TRACKING USING A 4D KERNEL AND LINEAR PREDICTION

Katharina Quast, Christof Kobylko, André Kaup

2011

Abstract

A new mean shift tracker which tracks not only the position but also the size and orientation of an object is presented. By using a four-dimensional kernel, the mean shift iterations are performed in a four-dimensional search space consisting of the image coordinates, a scale and an orientation dimension. Thus, the enhanced mean shift tracker tracks the position, size and orientation of an object simultaneously. To increase the tracking performance by using the information about the position, size and orientation of the object in the previous frames, a linear prediction is also integrated into the 4D kernel tracker. The tracking performance is further improved by considering the gradient norm as an additional object feature.

Paper Citation

in Harvard Style

Quast K., Kobylko C. and Kaup A. (2011). MEAN SHIFT OBJECT TRACKING USING A 4D KERNEL AND LINEAR PREDICTION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 588-593. DOI: 10.5220/0003327305880593

in Bibtex Style

@conference{visapp11,
author={Katharina Quast and Christof Kobylko and André Kaup},
title={MEAN SHIFT OBJECT TRACKING USING A 4D KERNEL AND LINEAR PREDICTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={588-593},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003327305880593},
isbn={978-989-8425-47-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - MEAN SHIFT OBJECT TRACKING USING A 4D KERNEL AND LINEAR PREDICTION
SN - 978-989-8425-47-8
AU - Quast K.
AU - Kobylko C.
AU - Kaup A.
PY - 2011
SP - 588
EP - 593
DO - 10.5220/0003327305880593