title: Body-Based Gender Recognition Using Images from Visible and Thermal Cameras.
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.
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea. nguyentiendat@dongguk.edu.
authors.forename: Dat Tien
authors.initials: DT
authors.lastname: Nguyen
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea. parkgr@dongguk.edu.
authors.forename: Kang Ryoung
authors.initials: KR
authors.lastname: Park
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001699:Biometry; D005145:Face; D005260:Female; D005783:Gender Identity; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*
keywords: gender recognition; thermal image; visible light image
references.citation: Sensors (Basel). 2015;15(9):21898-930
references.pmid: 26334282
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