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JACIII Vol.13 No.3 pp. 172-177
doi: 10.20965/jaciii.2009.p0172
(2009)

Paper:

Posture Estimation of a Human Body from Thermal Images of 2D Appearance Models of 3D Ellipsoidal Model

Mitsuhiro Hayase* and Susumu Shimada**

*Graduate School of Computer and Cognitive Science, Chukyo University

**School of Information Science and Technology, Chukyo University 101 Tokodachi, Kaizu-cho, Toyota, 470-0393 Japan

Received:
November 24, 2008
Accepted:
February 9, 2009
Published:
May 20, 2009
Keywords:
model-based vision, 2D appearance models, 3D primitive models, robot vision
Abstract

We propose a new model-based recognition method that involves the use of three-dimensional (3D) ellipsoidal models in various sizes and proportions as well as their two-dimensional (2D) appearance models. Most model-based vision is intended to recognize specified objects, and the model is specific to the object. However, our method can recognize various proportions of objects and was applied in posture estimation of the human body from thermal images.

Cite this article as:
Mitsuhiro Hayase and Susumu Shimada, “Posture Estimation of a Human Body from Thermal Images of 2D Appearance Models of 3D Ellipsoidal Model,” J. Adv. Comput. Intell. Intell. Inform., Vol.13, No.3, pp. 172-177, 2009.
Data files:
References
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Last updated on Mar. 05, 2021