A fast and scalable system for visual attention, object based attention and object recognition for humanoid robots

Andreas Holzbach, Gordon Cheng

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

4 Zitate (Scopus)

Abstract

In this paper, we present a novel approach towards the integration of visual attention, object based attention and object recognition. Our system is scalable in regard to the required framerate or usage of computational power. Therefore, it is perfectly suited for robotic applications, where time is a crucial factor. We enhance and evaluate our previously presented visual attention system based on sampled template collation (STC) to fit into a humanoid robotic context by dynamically adjusting the required computational speed. We modify STC for object-based attention to segment the attended object from the surrounding background. Subsequently we combine it with a biologically-inspired object recognition system. We show that our approach significantly improves the recognition accuracy.

OriginalspracheEnglisch
Titel2014 IEEE-RAS International Conference on Humanoid Robots, Humanoids 2014
Herausgeber (Verlag)IEEE Computer Society
Seiten316-321
Seitenumfang6
ISBN (elektronisch)9781479971749
DOIs
PublikationsstatusVeröffentlicht - 12 Feb. 2015
Veranstaltung2014 14th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2014 - Madrid, Spanien
Dauer: 18 Nov. 201420 Nov. 2014

Publikationsreihe

NameIEEE-RAS International Conference on Humanoid Robots
Band2015-February
ISSN (Print)2164-0572
ISSN (elektronisch)2164-0580

Konferenz

Konferenz2014 14th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2014
Land/GebietSpanien
OrtMadrid
Zeitraum18/11/1420/11/14

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