Integrating vision for human-robot interaction

Human-robot interaction necessitates more than robust people detection and tracking. It relies on the integration of disparate scene information from tracking and recognition systems combined and infused with current and prior knowledge to facililtate robotic understanding and interaction with human...

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Bibliographic Details
Published in2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops pp. 9 - 16
Main Authors Fransen, B R, Lawson, W E, Bugajska, M D
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Cameras
Computer vision
Human robot interaction
Laboratories
Layout
Logic
Particle tracking
Robot vision systems
Robustness
Sensor systems
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Summary:Human-robot interaction necessitates more than robust people detection and tracking. It relies on the integration of disparate scene information from tracking and recognition systems combined and infused with current and prior knowledge to facililtate robotic understanding and interaction with humans and the environment. In this work we will discuss our efforts in the development and integration of visual scene processing systems for the purpose of enhancing human robotic interaction. Our latest efforts in integrating 3D scene information for the production of novel information sources will be discussed and demonstrated. We show the integration of facial pose and pointing gestures to localize the diectic gesture to a single point in space. Additionally, we will discuss our efforts in integrating Markov logic networks for high level reasoning with computer vision systems to facilitate scene understanding.
ISBN:9781424470297
1424470293
ISSN:2160-7508
2160-7516
DOI:10.1109/CVPRW.2010.5543749