Tracking by Shape with Deforming Prediction for Non-rigid Objects

Kenji Nishida, Takumi Kobayashi, Jun Fujiki

2014

Abstract

A novel algorithm for tracking by shape with deforming prediction is proposed. The algorithm is based on the similarity of the predicted and actual object shape. Second order approximation for feature point movement by Taylor expansion is adopted for shape prediction, and the similarity is measured by using chamfer matching of the predicted and the actual shape. Chamfer matching is also used to detect the feature point movements to predict the object deformation. The proposed algorithm is applied to the tracking of a skier and showed a good tracking and shape prediction performance.

Paper Citation

in Harvard Style

Nishida K., Kobayashi T. and Fujiki J. (2014). Tracking by Shape with Deforming Prediction for Non-rigid Objects . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 580-587. DOI: 10.5220/0004813305800587

in Bibtex Style

@conference{icpram14,
author={Kenji Nishida and Takumi Kobayashi and Jun Fujiki},
title={Tracking by Shape with Deforming Prediction for Non-rigid Objects},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={580-587},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004813305800587},
isbn={978-989-758-018-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Tracking by Shape with Deforming Prediction for Non-rigid Objects
SN - 978-989-758-018-5
AU - Nishida K.
AU - Kobayashi T.
AU - Fujiki J.
PY - 2014
SP - 580
EP - 587
DO - 10.5220/0004813305800587