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Proceedings Paper

Real-Time Detection Of Multi-Colored Objects
Author(s): Lambert E. Wixson; Dana H. Ballard
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Paper Abstract

Fast object recognition is critical for robots in the real world. However, geometry-based object recognition methods calculate the pose of the object as part of the recognition process and hence are inherently slow. As a result, they are not suitable for tasks such as searching for an object in a room. If pose calculation is eliminated from the process and a scheme is used that simply detects the likely presence of the object in a scene, considerable efficiency can be gained. This paper contains a discussion of the requirements of any searching task and presents a fast method for detecting the presence of known multi-colored objects in a scene. The method is based on the assumption that the color histogram of an image can contain object "signatures" which are invariant over a wide range of scenes and object poses. The resulting algorithm has been easily implemented in off-the-shelf hardware and used to build a robot system which can sweep its gaze over a room searching for an object.

Paper Details

Date Published: 1 March 1990
PDF: 12 pages
Proc. SPIE 1198, Sensor Fusion II: Human and Machine Strategies, (1 March 1990); doi: 10.1117/12.969997
Show Author Affiliations
Lambert E. Wixson, University of Rochester (United States)
Dana H. Ballard, University of Rochester (United States)

Published in SPIE Proceedings Vol. 1198:
Sensor Fusion II: Human and Machine Strategies
Paul S. Schenker, Editor(s)

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