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Proceedings Paper

Design and implementation of family service robots’ object recognition based on Webots
Author(s): Xiaoying Jin; Xing Ma; Chunyang Mu
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Paper Abstract

This article based on the current robot to achieve the identification of objects exist a number of issues to design. In order to achieve the robots in the family scene to identify specific objects. Thus verifying its feasibility and practicability.Based on SURF algorithm and SVM classifier to extract local features and training, this paper proposes a PCA algorithm and Bag-of-Visual-Word algorithm to reduce the dimensionality and clustering of extracted features to facilitate SVM training while improving recognition accuracy and reducing computation time. At the same time using multi-view and Image Pyramid segmentation method to solve the occlusion and complex background recognition.All experiments were performed using the Webots robotics development platform and the OpenCV library.Experimental results show that the above method can ensure the real-time performance while ensuring the accuracy of recognition. It has a certain feasibility and practical value.

Paper Details

Date Published: 9 August 2018
PDF: 10 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108060G (9 August 2018); doi: 10.1117/12.2502878
Show Author Affiliations
Xiaoying Jin, North Minzu Univ. (China)
Xing Ma, North Minzu Univ. (China)
Chunyang Mu, North Minzu Univ. (China)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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