Pedestrian Age and Gender Identification from Far View Images Using Convolutional Neural Network

Fatema Yeasmin Chowdhury; Md. Khaliluzzaman; Khondoker Md Arif Raihan; M. Moazzam Hossen

doi:10.1007/978-981-15-3607-6_13

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Pedestrian Age and Gender Identification from Far View Images Using Convolutional Neural Network

Fatema Yeasmin Chowdhury Md. Khaliluzzaman Khondoker Md Arif Raihan M. Moazzam Hossen

Year: 2020 Algorithms for intelligent systems Pages: 163-177 Publisher: Springer Nature

DOI: 10.1007/978-981-15-3607-6_13

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Keywords:

Convolutional neural network Computer science Pedestrian Identification (biology) Artificial intelligence Inference Task (project management) Pattern recognition (psychology) Machine learning Computer vision Geography Engineering

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Pedestrian Age and Gender Identification from Far View Images Using Convolutional Neural Network

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