Evolutionary head pose measurement by improved stereo model matching

Wei Song; Mamoru Minami; Yasushi Mae

doi:10.1109/SICE.2006.314828

Evolutionary head pose measurement by improved stereo model matching

Wei Song, Mamoru Minami, Yasushi Mae

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

This paper presents a method to estimate the 3D pose of a human's head using two images input from two stereo cameras. The proposed method utilizes an evolutionary search technique of 1-Step genetic algorithm (1-Step GA) being improved to adapt for the real-time recogniton in dynamic images and a fitness evaluation based on a matching stereo model. Here, the head position and orientation are detected simultaneously using the brightness distribution and color information of the input images. Moreover, the facial features, eyebrows and eyes, are also recognized to increase the robustness of head pose measurement. An improved robust recognition for mobile robot has been proposed which is very effective to remove the influence of the camera motion.

Original language	English
Title of host publication	2006 SICE-ICASE International Joint Conference
Pages	4234-4239
Number of pages	6
DOIs	https://doi.org/10.1109/SICE.2006.314828
Publication status	Published - 2006
Externally published	Yes
Event	2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of Duration: Oct 18 2006 → Oct 21 2006

Publication series

Name	2006 SICE-ICASE International Joint Conference

Other

Other	2006 SICE-ICASE International Joint Conference
Country/Territory	Korea, Republic of
City	Busan
Period	10/18/06 → 10/21/06

Keywords

3D pose measurement
GA
Matching model

ASJC Scopus subject areas

Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/SICE.2006.314828

Cite this

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title = "Evolutionary head pose measurement by improved stereo model matching",

abstract = "This paper presents a method to estimate the 3D pose of a human's head using two images input from two stereo cameras. The proposed method utilizes an evolutionary search technique of 1-Step genetic algorithm (1-Step GA) being improved to adapt for the real-time recogniton in dynamic images and a fitness evaluation based on a matching stereo model. Here, the head position and orientation are detected simultaneously using the brightness distribution and color information of the input images. Moreover, the facial features, eyebrows and eyes, are also recognized to increase the robustness of head pose measurement. An improved robust recognition for mobile robot has been proposed which is very effective to remove the influence of the camera motion.",

keywords = "3D pose measurement, GA, Matching model",

author = "Wei Song and Mamoru Minami and Yasushi Mae",

year = "2006",

doi = "10.1109/SICE.2006.314828",

language = "English",

isbn = "8995003855",

series = "2006 SICE-ICASE International Joint Conference",

pages = "4234--4239",

booktitle = "2006 SICE-ICASE International Joint Conference",

note = "2006 SICE-ICASE International Joint Conference ; Conference date: 18-10-2006 Through 21-10-2006",

}

TY - GEN

T1 - Evolutionary head pose measurement by improved stereo model matching

AU - Song, Wei

AU - Minami, Mamoru

AU - Mae, Yasushi

PY - 2006

Y1 - 2006

N2 - This paper presents a method to estimate the 3D pose of a human's head using two images input from two stereo cameras. The proposed method utilizes an evolutionary search technique of 1-Step genetic algorithm (1-Step GA) being improved to adapt for the real-time recogniton in dynamic images and a fitness evaluation based on a matching stereo model. Here, the head position and orientation are detected simultaneously using the brightness distribution and color information of the input images. Moreover, the facial features, eyebrows and eyes, are also recognized to increase the robustness of head pose measurement. An improved robust recognition for mobile robot has been proposed which is very effective to remove the influence of the camera motion.

AB - This paper presents a method to estimate the 3D pose of a human's head using two images input from two stereo cameras. The proposed method utilizes an evolutionary search technique of 1-Step genetic algorithm (1-Step GA) being improved to adapt for the real-time recogniton in dynamic images and a fitness evaluation based on a matching stereo model. Here, the head position and orientation are detected simultaneously using the brightness distribution and color information of the input images. Moreover, the facial features, eyebrows and eyes, are also recognized to increase the robustness of head pose measurement. An improved robust recognition for mobile robot has been proposed which is very effective to remove the influence of the camera motion.

KW - 3D pose measurement

KW - GA

KW - Matching model

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DO - 10.1109/SICE.2006.314828

M3 - Conference contribution

AN - SCOPUS:34250729786

SN - 8995003855

SN - 9788995003855

T3 - 2006 SICE-ICASE International Joint Conference

SP - 4234

EP - 4239

BT - 2006 SICE-ICASE International Joint Conference

T2 - 2006 SICE-ICASE International Joint Conference

Y2 - 18 October 2006 through 21 October 2006

ER -

Evolutionary head pose measurement by improved stereo model matching

Abstract

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Keywords

ASJC Scopus subject areas

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