The classification system with the evolutionary computation

Yohei Tomita; Satoru Suzuki; Hironobu Fukai; Rajiv Khosla; Yasue Mitsukura

doi:10.1109/AMC.2010.5464033

The classification system with the evolutionary computation

Yohei Tomita, Satoru Suzuki, Hironobu Fukai, Rajiv Khosla, Yasue Mitsukura

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

Abstract

The purpose of this paper is to obtain the object. In particular, we focus on the face detection. By using the proposed method, we recognize faces with a near-infrared (NIR) camera. The face detection that used images from the NIR camera is comparatively difficult to be done, because they are gray scale images. In this paper, the filter by using the GA is designed for the purpose of getting the faces. The method of detecting faces and the position from the NIR images is proposed in the on-line image. It is demonstrated that our approach is effective for vehicle driver monitoring. Finally, it was confirmed that the proposed method works well.

Original language	English
Title of host publication	AMC2010 - The 11th IEEE International Workshop on Advanced Motion Control, Proceedings
Pages	750-755
Number of pages	6
DOIs	https://doi.org/10.1109/AMC.2010.5464033
Publication status	Published - 2010
Externally published	Yes
Event	2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010 - Nagaoka, Niigata, Japan Duration: 2010 Mar 21 → 2010 Mar 24

Publication series

Name	International Workshop on Advanced Motion Control, AMC

Other

Other	2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010
Country/Territory	Japan
City	Nagaoka, Niigata
Period	10/3/21 → 10/3/24

ASJC Scopus subject areas

Control and Systems Engineering
Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/AMC.2010.5464033

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The classification system with the evolutionary computation. / Tomita, Yohei; Suzuki, Satoru; Fukai, Hironobu et al.

AMC2010 - The 11th IEEE International Workshop on Advanced Motion Control, Proceedings. 2010. p. 750-755 5464033 (International Workshop on Advanced Motion Control, AMC).

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

Tomita, Y, Suzuki, S, Fukai, H, Khosla, R & Mitsukura, Y 2010, The classification system with the evolutionary computation. in AMC2010 - The 11th IEEE International Workshop on Advanced Motion Control, Proceedings., 5464033, International Workshop on Advanced Motion Control, AMC, pp. 750-755, 2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010, Nagaoka, Niigata, Japan, 10/3/21. https://doi.org/10.1109/AMC.2010.5464033

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AB - The purpose of this paper is to obtain the object. In particular, we focus on the face detection. By using the proposed method, we recognize faces with a near-infrared (NIR) camera. The face detection that used images from the NIR camera is comparatively difficult to be done, because they are gray scale images. In this paper, the filter by using the GA is designed for the purpose of getting the faces. The method of detecting faces and the position from the NIR images is proposed in the on-line image. It is demonstrated that our approach is effective for vehicle driver monitoring. Finally, it was confirmed that the proposed method works well.

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The classification system with the evolutionary computation

Abstract

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