Video Segmentation based on Multi-kernel Learning and Feature Relevance Analysis for Object Classification

S. Molina-Giraldo, J. Carvajal-González, A. M. Álvarez-Meza, G. Castellanos-Domínguez

2013

Abstract

A methodology to automatically detect moving objects in a scene using static cameras is proposed. Using Multiple Kernel Representations, we aim to incorporate multiple information sources in the process, and employing a relevance analysis, each source is automatically weighted. A tuned Kmeans technique is employed to group pixels as static or moving objects. Moreover, the proposed methodology is tested for the classification of abbandoned objects. Attained results over real-world datasets, show how our approach is stable using the same parameters for all experiments.

Paper Citation

in Harvard Style

Molina-Giraldo S., Carvajal-González J., M. Álvarez-Meza A. and Castellanos-Domínguez G. (2013). Video Segmentation based on Multi-kernel Learning and Feature Relevance Analysis for Object Classification . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 396-401. DOI: 10.5220/0004269403960401

in Bibtex Style

@conference{icpram13,
author={S. Molina-Giraldo and J. Carvajal-González and A. M. Álvarez-Meza and G. Castellanos-Domínguez},
title={Video Segmentation based on Multi-kernel Learning and Feature Relevance Analysis for Object Classification},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={396-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004269403960401},
isbn={978-989-8565-41-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Video Segmentation based on Multi-kernel Learning and Feature Relevance Analysis for Object Classification
SN - 978-989-8565-41-9
AU - Molina-Giraldo S.
AU - Carvajal-González J.
AU - M. Álvarez-Meza A.
AU - Castellanos-Domínguez G.
PY - 2013
SP - 396
EP - 401
DO - 10.5220/0004269403960401