BMVC IndexPattern Recognition Methods for Object Boundary DetectionComputer Vision: AnalysisA Novel Approach to Real-time Non-intrusive Gaze Finding

Vision Based Person Tracking with a Mobile Robot
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C. Schlegel, J. Illmann, H. Jaberg, M. Schuster, R. Worz

Research Institute for Applied Knowledge Processing (FAW)
PO-Box 2060
D -- 89010 Ulm Germany

Contact: schlegel@faw.uni-ulm.de

Abstract

We address the problem of detecting and tracking people with a mobile robot. The need for following a person with a mobile robot arises in many different service robotic applications. The main problems of this task are realtime-constraints, a changing background, varying illumination conditions and a non-rigid shape of the person to be tracked. The presented system has been tested extensively on a mobile robot in our everyday office environment.

Keywords: Person Following, Visually Guided Robot, Blob Tracking, Contour Matching
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BMVC IndexPattern Recognition Methods for Object Boundary DetectionComputer Vision: AnalysisA Novel Approach to Real-time Non-intrusive Gaze Finding

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