Share Email Print
cover

Proceedings Paper

Person detection in hyperspectral images via skin segmentation using an active learning approach
Author(s): Ion Marqués; Manuel Graña; Stephanie M. Sanchez; Mohammed Q. Alkhatib; Miguel Velez-Reyes
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Human skin detection is a computer vision problem that has been widely researched in color images. In this article we deal with this task as an interactive segmentation problem in hyperspectral outdoor images. We have focused on the problem of skin identification in hyperspectral cameras allowing a fine sampling of the light spectrum, so that the information gathered at each pixel is a high dimensional vector. The problem is treated as a classification problem, where we make use of active learning strategies to provide an interactive robust solution reaching high accuracy in a short training/testing cycle.

Paper Details

Date Published: 21 May 2015
PDF: 10 pages
Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 947207 (21 May 2015); doi: 10.1117/12.2179333
Show Author Affiliations
Ion Marqués, Univ. del País Vasco (Spain)
Manuel Graña, Univ. del País Vasco (Spain)
Wrocław Univ. of Technology (Poland)
Stephanie M. Sanchez, The Univ. of Texas at El Paso (United States)
Mohammed Q. Alkhatib, The Univ. of Texas at El Paso (United States)
Miguel Velez-Reyes, The Univ. of Texas at El Paso (United States)


Published in SPIE Proceedings Vol. 9472:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI
Miguel Velez-Reyes; Fred A. Kruse, Editor(s)

© SPIE. Terms of Use
Back to Top