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An Evidential System for Color Recognition Using Multi-cameras

By Thanh Long Nguyen, Didier Coquin and Reda Boukezzoula

Abstract

International audienceRecognition is always an interesting aspect of visual processing, especially for systems that requires intuitive percep- tion like robotics or human-machine interactions. In this work, a color recognition system based on Evidence Theory is applied for a scenario of the NAO robot that recognizes the color of a requested ball. The robot employs multi-cameras to reduce uncertainties, and the Dempster-Shafer rule of combination is used to fuse information from these cameras. Experimental results validate that the proposed method outperforms the use of Fuzzy similarity with each camera, and the fusion of multi- cameras dramatically increases the recognition success rate

Topics: Color recognition, Belief Function Theory, Fusion systems, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
Publisher: 'Institute of Electrical and Electronics Engineers (IEEE)'
Year: 2017
DOI identifier: 10.1109/CIVEMSA.2017.7995307
OAI identifier: oai:HAL:hal-01554199v1
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