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The KIT Robo-Kitchen Data set for the Evaluation of View-based Activity Recognition Systems

Rybok, Lukas; Friedberger, Simon; Hanebeck, Uwe D.; Stiefelhagen, Rainer

Human action and activity recognition from videos has attracted an increasing number of researchers in recent years. However, most of the works aim at multimedia retrieval and surveillance applications, but rarely at humanoid household robots, even though the robotic perception of human activities would allow a more natural human-robot interaction (HRI). To encourage future studies in this domain, we present in this work a novel data set specifically designed for the application in HRI scenarios. This Robo-kitchen data set consists of 14 typical kitchen activities recorded in two different stereo-camera setups, and each performed by 17 subjects. To establish a baseline for future work, we extend a state-of-the-art action recognition method to be applicable on the activity classification problem and evaluate it on the Robo-kitchen data set showing promising results.

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Volltext §
DOI: 10.5445/IR/1000035121
Zugehörige Institution(en) am KIT Institut für Anthropomatik (IFA)
Publikationstyp Proceedingsbeitrag
Jahr 2011
Sprache Englisch
Identifikator ISBN: 978-1-61284-867-9
KITopen-ID: 1000035121
Erschienen in Proceedings of the 2011 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 26 - 28 October 2011, Bled, Slovenia,
Verlag IEEE, Piscataway
Seiten 128-133
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