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
Predicted Captions
Predicted Captions

This is the caption generated by Encoder and Decoder module of Video Captioning

Frames of video/video
Frames of video/video

Video frames as input given to the model

Graph
Graph

Graph obtain on training video captioning model

Predicted Captions
Predicted Captions

This is the caption generated by Encoder and Decoder module of Video Captioning

1/4
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.