End to End Learning Human Pose Detection Using Convolutional Neural Networks

Nilesh D. Navghare; L. Mary Gladence

doi:10.1007/978-981-33-4859-2_13

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End to End Learning Human Pose Detection Using Convolutional Neural Networks

Nilesh D. Navghare L. Mary Gladence

Year: 2021 Advances in intelligent systems and computing Pages: 135-142 Publisher: Springer Nature

DOI: 10.1007/978-981-33-4859-2_13

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Keywords:

Convolutional neural network Computer science Artificial intelligence Pipeline (software) Sequence (biology) Pose Computer vision Pattern recognition (psychology) Generator (circuit theory) Machine learning

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Cited By

0.71

FWCI (Field Weighted Citation Impact)

Refs

0.66

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

End to End Learning Human Pose Detection Using Convolutional Neural Networks

Metrics

Citation History

Topics

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