SMART VISION SENSOR FOR VELOCITY ESTIMATION USING A MULTI-RESOLUTION ARCHITECTURE

Mickael Quelin, Abdesselam Bouzerdoum, Son Lam Phung

2010

Abstract

This paper presents a velocity estimator based on a digital version of the so called Elementary Motion Detector (EMD). Inspired by insect vision, this model benefits from a low complexity motion detection algorithm and is able to estimate velocities in four directions. It can handle noisy images with a pre-filtering step which highlights the important features to be detected. Using a specific velocity tuned detector called Elementary Velocity Detector (EVD) applied to different resolutions of the same input, it gains time efficiency by estimating different speeds in parallel. The responses of the different EVDs are then combined together at the input resolution size.

References

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Paper Citation


in Harvard Style

Quelin M., Bouzerdoum A. and Lam Phung S. (2010). SMART VISION SENSOR FOR VELOCITY ESTIMATION USING A MULTI-RESOLUTION ARCHITECTURE . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 447-452. DOI: 10.5220/0002828804470452


in Bibtex Style

@conference{visapp10,
author={Mickael Quelin and Abdesselam Bouzerdoum and Son Lam Phung},
title={SMART VISION SENSOR FOR VELOCITY ESTIMATION USING A MULTI-RESOLUTION ARCHITECTURE},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={447-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002828804470452},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - SMART VISION SENSOR FOR VELOCITY ESTIMATION USING A MULTI-RESOLUTION ARCHITECTURE
SN - 978-989-674-028-3
AU - Quelin M.
AU - Bouzerdoum A.
AU - Lam Phung S.
PY - 2010
SP - 447
EP - 452
DO - 10.5220/0002828804470452