REAL-TIME ROAD SCENE CLASSIFICATION USING INFRARED IMAGES

David Forslund, Per Cronvall, Jacob Roll

2010

Abstract

This paper aims at employing scene classification in real-time to the two-class problem of separating city and rural scenes in images constructed from an infrared sensor that is mounted at the front of a vehicle. The 'Bag of Words' algorithm for image representation has been evaluated and compared to two low-level methods 'Edge Direction Histograms', and 'Invariant Moments'. A method for fast scene classification using the Bag of Words algorithm is proposed using a grey patch based algorithm for image element representation and a modified floating search for visual word selection. It is also shown empirically that floating search for visual word selection outperforms the currently popular k-means clustering for small vocabulary sizes.

Paper Citation

in Harvard Style

Forslund D., Cronvall P. and Roll J. (2010). REAL-TIME ROAD SCENE CLASSIFICATION USING INFRARED IMAGES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 351-356. DOI: 10.5220/0002821503510356

in Bibtex Style

@conference{visapp10,
author={David Forslund and Per Cronvall and Jacob Roll},
title={REAL-TIME ROAD SCENE CLASSIFICATION USING INFRARED IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={351-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002821503510356},
isbn={978-989-674-029-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - REAL-TIME ROAD SCENE CLASSIFICATION USING INFRARED IMAGES
SN - 978-989-674-029-0
AU - Forslund D.
AU - Cronvall P.
AU - Roll J.
PY - 2010
SP - 351
EP - 356
DO - 10.5220/0002821503510356