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What is Human Activity Recognition Techniques about?

This document discusses human activity recognition (HAR) and proposes a system to recognize human actions from video data using deep learning models. It begins with an introduction to HAR and its applications. It then describes existing approaches like HOG+SVM and their limitations. The proposed system would use a ResNet-34 3D convolutional neural network trained on a Kinetics dataset to recognize patterns in video frames and classify human activities in real-time. It aims to both recognize actions and prov

Author

APS Placements

Language

EN