Multi-label convolutional neural network based pedestrian attribute classification

Jianqing Zhu; Shengcai Liao; Zhen Lei; Stan Z. Li

doi:10.1016/j.imavis.2016.07.004

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Multi-label convolutional neural network based pedestrian attribute classification

Jianqing Zhu Shengcai Liao Zhen Lei Stan Z. Li

Year: 2016 Journal: Image and Vision Computing Vol: 58 Pages: 224-229 Publisher: Elsevier BV

DOI: 10.1016/j.imavis.2016.07.004

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Keywords:

Computer science Convolutional neural network Artificial intelligence Pattern recognition (psychology) Pedestrian Artificial neural network Support vector machine Binary number Machine learning Data mining Mathematics

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Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-label convolutional neural network based pedestrian attribute classification

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Citation History

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