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Proceedings Paper

Fast face localization for mobile robots: signature analysis and color processing
Author(s): Manuel Grana Romay; Ana Isabel Gonzalez; Bogdan Raducanu; Imanol Echave
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Paper Abstract

The purpose of our works is to provide fast and reliable face localization techniques in real time an in real-life scenes. Person localization is included in this problem. The end application sought is the ability of mobile robots to navigate in human populated environments, and to start visual interaction with them. Known methods are computationally intensive, far from real time implementation at near future processing power of off-the-shelf processors. Our technique is based in motion segmentation, signature analysis and color processing. Signature analysis provides fast hints of the person and face localization. Color processing is used to confirm the face hypothesis, and it is based on our works on adaptive color quantization of image sequences. The technique can be implemented in real time and combined with other approaches to enhance the recognition results.

Paper Details

Date Published: 6 October 1998
PDF: 12 pages
Proc. SPIE 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, (6 October 1998); doi: 10.1117/12.325785
Show Author Affiliations
Manuel Grana Romay, Univ. Pais Vasco (Spain)
Ana Isabel Gonzalez, Univ. del Pais Vasco (Spain)
Bogdan Raducanu, Univ. del Pais Vasco (Spain)
Imanol Echave, Univ. del Pais Vasco (Spain)


Published in SPIE Proceedings Vol. 3522:
Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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