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Authors: Jose A. Boluda ; Fernando Pardo and Francisco Vegara

Affiliation: Universitat de València, Spain

ISBN: 978-989-758-225-7

Keyword(s): High-speed Motion Analysis, Event-based Sensing, FPGA System, Laser Triangulation.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: Event-based vision emerges as an alternative to conventional full-frame image processing. In event-based systems there is a vision sensor which delivers visual events asynchronously, typically illumination level changes. The asynchronous nature of these sensors makes it difficult to process the corresponding data stream. It might be possible to have few events to process if there are minor changes in the scene, or conversely, to have an untreatable explosion of events if the whole scene is changing quickly. A Selective Change-Driven (SCD) sensing system is a special event-based sensor which only delivers, in a synchronous manner and ordered by the magnitude of its change, those pixels that have changed most since the last time they have been read-out. To prove this concept, a processing architecture for high-speed motion analysis, based on the processing of the SCD pixel stream has been developed and implemented into a Field Programmable Gate-Array (FPGA). The system measures average distances using a laser line projected into moving objects. The acquisition, processing and delivery of distance takes less than 2 us. To obtain a similar result using a conventional frame-based camera it would be required a device working at more than 500 Kfps, which is not practical in embedded and limited-resource systems. The implemented system is small enough to be mounted on an autonomous platform. (More)

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Paper citation in several formats:
Boluda, J.; Pardo, F. and Vegara, F. (2017). High-speed Motion Detection using Event-based Sensing.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 246-253. DOI: 10.5220/0006183902460253

@conference{visapp17,
author={Jose A. Boluda. and Fernando Pardo. and Francisco Vegara.},
title={High-speed Motion Detection using Event-based Sensing},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={246-253},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006183902460253},
isbn={978-989-758-225-7},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - High-speed Motion Detection using Event-based Sensing
SN - 978-989-758-225-7
AU - Boluda, J.
AU - Pardo, F.
AU - Vegara, F.
PY - 2017
SP - 246
EP - 253
DO - 10.5220/0006183902460253

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