Activity Recognition on Kinect-3D Videos using Transfer Learning
Deep Learning Final Project Report
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Abstract—This project is to develope an algorithm to recognize daily actions on 3D Kinect videos. The final result is generated by a combined CNN and LSTM network. After decided hyperparameters like sequence length and max frames by experiment first, we trained the network on UCF101 2D video dataset and fixed the CNN part and retrained LSTM on 3D dataset. Keywords—video classification; 3d kinect video; LSTM; transfer learning