Ravi Shekhar Tiwari
Journals and Patents
Project 01
Human Identification Using Gait analysis and 3D Convolutional Network under supervision of Dr.P.Supraja.
This Project is about human recognition by their gait i.e. walking style by analyzing their gait features. It includes Object detection, Silhouette extraction, Skeletonisation, 3D CNN, recognition.
It took one day to preprocess the 18000 videos of 181 objects from 11 different angles and 8 days to train the network to recognize the object i.e. human by his/her gait features.
Research Paper: Applied.
Patent: Published in IPindia 01/2020,1, Pg- 208
Project 02
This is the caption generated by Encoder and Decoder module of Video Captioning
Video frames as input given to the model
Graph obtain on training video captioning model
This is the caption generated by Encoder and Decoder module of Video Captioning
Video Captioning Using Encoder and Decoder Module under supervision of Dr.P.Supraja
In this project, we used 3D CNN with LSTM to train the neural network to generate the caption on the basis of the features present in the frames. We word embedding and vectorization for sanitization of the captions on which we trained our neural network.
After training for five continuous days we got the captions which were 92% relevant to the frames of the video.
Patent: Published in IPindia 51/2019,1, Pg- 61314
Project 03
Enhanced Human Gait Prediction under supervision of Dr.P.Supraja
In this we have used 2D CNN to recognize the human by their gait features by analyzing their walking pattern.
Research Paper: Accepted in the Journal of Physics and Nanotechnology.