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Author: G. de Croon

Affiliation: MICC-IKAT, Universiteit Maastricht, Netherlands

Keyword(s): Object Detection, Active Vision, Active Scanning, Evolutionary Algorithms.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: We investigate an object-detection method that employs active image scanning. The method extracts a local sample at the current scanning position and maps it to a shifting vector indicating the next scanning position. The method’s goal is to move the scanning position to an object location, skipping regions in the image that are unlikely to contain an object. We apply the active object-detection method (AOD-method) to a face-detection task and compare it with window-sliding object-detection methods, which employ passive scanning. We conclude that the AOD-method performs at par with these methods, while being computationally less expensive. In a conservative estimate the AOD-method extracts 45 times fewer local samples, leading to a 50% reduction of computational effort. This reduction is obtained at the expense of application generality.

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Paper citation in several formats:
de Croon, G. (2007). ACTIVE OBJECT DETECTION. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 97-103. DOI: 10.5220/0002044600970103

@conference{visapp07,
author={G. {de Croon}.},
title={ACTIVE OBJECT DETECTION},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={97-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002044600970103},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - ACTIVE OBJECT DETECTION
SN - 978-972-8865-74-0
IS - 2184-4321
AU - de Croon, G.
PY - 2007
SP - 97
EP - 103
DO - 10.5220/0002044600970103
PB - SciTePress

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