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Detecting human heads with their orientations
Sugimoto, Akihiro (National Institute of Informatics (Tòquio, Japó))
Kimura, Mitsuhiro (Kyoto University. Graduate School of Informatics)
Matsuyama, Takashi (Kyoto University. Graduate School of Informatics)

Date: 2005
Abstract: We propose a two-step method for detecting human heads with their orientations. In the first step, the method employs an ellipse as the contour model of human-head appearances to deal with wide variety of appearances. Our method then evaluates the ellipse to detect possible human heads. In the second step, on the other hand, our method focuses on features inside the ellipse, such as eyes, the mouth or cheeks, to model facial components. The method evaluates not only such components themselves but also their geometric configuration to eliminate false positives in the first step and, at the same time, to estimate face orientations. Our intensive experiments show that our method can correctly and stably detect human heads with their orientations.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Document: Article ; recerca ; Versió publicada
Subject: Detecció de la ment humana ; Orientació de la cara ; Mostres ; Anàlisi d'imatge de video ; Detección de la mente humana ; Orientación de la cara ; Muestras ; Análisis de imagen de video ; Human head detection ; Face orientation ; Tracking ; Video image analysis
Published in: ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 3 (2005) p. 133-147, ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v5-n3-sugimoto-kimura-matsuyama
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/31628
DOI: 10.5565/rev/elcvia.112


15 p, 1.7 MB

The record appears in these collections:
Articles > Published articles > ELCVIA
Articles > Research articles

 Record created 2008-03-28, last modified 2022-02-19



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