Smart vision sensor for velocity estimation using a multi-resolution architecture

Mickael Quelin; Abdesselam Bouzerdoum; Son Lam Phung

Smart vision sensor for velocity estimation using a multi-resolution architecture

Mickael Quelin^*, Abdesselam Bouzerdoum, Son Lam Phung

^*Corresponding author for this work

University of Wollongong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
Pages	447-452
Number of pages	6
Publication status	Published - 2010
Externally published	Yes
Event	5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 - Angers, France Duration: 17 May 2010 → 21 May 2010

Publication series

Name	VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
Volume	1

Conference

Conference	5th International Conference on Computer Vision Theory and Applications, VISAPP 2010
Country/Territory	France
City	Angers
Period	17/05/10 → 21/05/10

Keywords

Elementary Motion Detector (EMD)
Elementary Velocity Detector (EVD)
Horridge template model
Insect vision
Multi-resolution architecture
Reichardt correlator

Cite this

@inproceedings{45f2cdbd274c4f22b34a7042608dbfac,

title = "Smart vision sensor for velocity estimation using a multi-resolution architecture",

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.",

keywords = "Elementary Motion Detector (EMD), Elementary Velocity Detector (EVD), Horridge template model, Insect vision, Multi-resolution architecture, Reichardt correlator",

author = "Mickael Quelin and Abdesselam Bouzerdoum and Phung, {Son Lam}",

year = "2010",

language = "English",

isbn = "9789896740283",

series = "VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications",

pages = "447--452",

booktitle = "VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications",

note = "5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 ; Conference date: 17-05-2010 Through 21-05-2010",

}

Quelin, M, Bouzerdoum, A & Phung, SL 2010, Smart vision sensor for velocity estimation using a multi-resolution architecture. in VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications. VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications, vol. 1, pp. 447-452, 5th International Conference on Computer Vision Theory and Applications, VISAPP 2010, Angers, France, 17/05/10.

Smart vision sensor for velocity estimation using a multi-resolution architecture. / Quelin, Mickael; Bouzerdoum, Abdesselam; Phung, Son Lam.
VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications. 2010. p. 447-452 (VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Smart vision sensor for velocity estimation using a multi-resolution architecture

AU - Quelin, Mickael

AU - Bouzerdoum, Abdesselam

AU - Phung, Son Lam

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Elementary Motion Detector (EMD)

KW - Elementary Velocity Detector (EVD)

KW - Horridge template model

KW - Insect vision

KW - Multi-resolution architecture

KW - Reichardt correlator

UR - http://www.scopus.com/inward/record.url?scp=77956310149&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:77956310149

SN - 9789896740283

T3 - VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications

SP - 447

EP - 452

BT - VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications

T2 - 5th International Conference on Computer Vision Theory and Applications, VISAPP 2010

Y2 - 17 May 2010 through 21 May 2010

ER -

Smart vision sensor for velocity estimation using a multi-resolution architecture

Abstract

Publication series

Conference

Keywords

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Cite this