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Sensors 2016, 16(2), 156; doi:10.3390/s16020156

Body-Based Gender Recognition Using Images from Visible and Thermal Cameras

Division of Electronics and Electrical Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 30 December 2015 / Accepted: 21 January 2016 / Published: 27 January 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [4848 KB, uploaded 27 January 2016]   |  

Abstract

Gender information has many useful applications in computer vision systems, such as surveillance systems, counting the number of males and females in a shopping mall, accessing control systems in restricted areas, or any human-computer interaction system. In most previous studies, researchers attempted to recognize gender by using visible light images of the human face or body. However, shadow, illumination, and time of day greatly affect the performance of these methods. To overcome this problem, we propose a new gender recognition method based on the combination of visible light and thermal camera images of the human body. Experimental results, through various kinds of feature extraction and fusion methods, show that our approach is efficient for gender recognition through a comparison of recognition rates with conventional systems. View Full-Text
Keywords: gender recognition; visible light image; thermal image gender recognition; visible light image; thermal image
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Nguyen, D.T.; Park, K.R. Body-Based Gender Recognition Using Images from Visible and Thermal Cameras. Sensors 2016, 16, 156.

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