Gender Recognition from Human-Body Images Using Visible-Light and Thermal Camera Videos Based on a Convolutional Neural Network for Image Feature Extraction

Gender Recognition from Human-Body Images Using Visible-Light and Thermal Camera Videos Based on a Convolutional Neural Network for Image Feature Extraction

Extracting powerful image features plays an important role in computer vision systems. Many methods have previously been proposed to extract image features for various computer vision applications, such as the scale-invariant feature transform (SIFT), speed-up robust feature (SURF), local binary pat...

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Bibliographic Details
Main Authors: Dat Tien Nguyen, Ki Wan Kim, Hyung Gil Hong, Ja Hyung Koo, Min Cheol Kim, Kang Ryoung Park
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Sensors
Subjects:
gender recognition
human body images
convolutional neural network
visible-light and thermal camera videos
Online Access:http://www.mdpi.com/1424-8220/17/3/637

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http://www.mdpi.com/1424-8220/17/3/637

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