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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-7
Agnes Swadzba , Applied Computer Science, Faculty of Technology, Bielefeld University, Universitätsstraße 25, 33615, Germany
Niklas Beuter , Applied Computer Science, Faculty of Technology, Bielefeld University, Universitätsstraße 25, 33615, Germany
Joachim Schmidt , Applied Computer Science, Faculty of Technology, Bielefeld University, Universitätsstraße 25, 33615, Germany
Gerhard Sagerer , Applied Computer Science, Faculty of Technology, Bielefeld University, Universitätsstraße 25, 33615, Germany
ABSTRACT
This paper focuses on two aspects of a human robot interaction scenario: Detection and tracking of moving objects, e.g., persons is necessary for localizing possible interaction partners and reconstruction of the surroundings can be used for navigation purposes and room categorization. Although these processes can be addressed independent from each other, we show that using the available data in exchange enables a more exact reconstruction of the static scene. A 6D data representation consisting of 3D Time-of-Flight (ToF) Sensor data and computed 3D velocities allows segmenting the scene into clusters with consistent velocities. A weak object model is applied to localize and track objects within a particle filter framework. As a consequence, points emerging from moving objects can be neglected during reconstruction. Experiments demonstrate enhanced reconstruction results in comparison to pure bottom-up methods, especially for very short image sequences.
CITATION
Agnes Swadzba, Niklas Beuter, Joachim Schmidt, Gerhard Sagerer, "Tracking objects in 6D for reconstructing static scenes", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-7, doi:10.1109/CVPRW.2008.4563155
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