Action Recognition Using Co-trained Deep Convolutional Neural Networks

Le Zhang; Jagannadan Varadarajan; Yong Pei

doi:10.1007/978-3-030-56150-5_8

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Action Recognition Using Co-trained Deep Convolutional Neural Networks

Le Zhang Jagannadan Varadarajan Yong Pei

Year: 2020 Lecture notes in computer science Pages: 155-172 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-56150-5_8

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Keywords:

Computer science Convolutional neural network Artificial intelligence Modalities Machine learning Action recognition Deep learning Process (computing) Modality (human–computer interaction) Pattern recognition (psychology) Set (abstract data type) Task (project management) Training set Class (philosophy)

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Action Recognition Using Co-trained Deep Convolutional Neural Networks

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