7 citations · 22 across the 8 of their papers we have counts for
7 papers · 1 filter
Gait Cycle Reconstruction and Human Identification from Occluded Sequences
Abhishek Paul, Manav Mukesh Jain, Jinesh Jain +1
Gait-based person identification from videos captured at surveillance sites using Computer Vision-based techniques is quite challenging since these walking sequences are usually co…
An Improved Deep Learning Approach For Product Recognition on Racks in Retail Stores
Ankit Sinha, Soham Banerjee, Pratik Chattopadhyay
Automated product recognition in retail stores is an important real-world application in the domain of Computer Vision and Pattern Recognition. In this paper, we consider the probl…
BGaitR-Net: Occluded Gait Sequence reconstructionwith temporally constrained model for gait recognition
Somnath Sendhil Kumara, Pratik Chattopadhyaya, Lipo Wang
Recent advancements in computational resources and Deep Learning methodologies has significantly benefited development of intelligent vision-based surveillance applications. Gait r…
Deep Learning based Person Re-identification
Nirbhay Kumar Tagore, Ayushman Singh, Sumanth Manche +1
Automated person re-identification in a multi-camera surveillance setup is very important for effective tracking and monitoring crowd movement. In the recent years, few deep learni…
RGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles
Dhritimaan Das, Ayush Agarwal, Pratik Chattopadhyay +1
Gait of a person refers to his/her walking pattern, and according to medical studies gait of every individual is unique. Over the past decade, several computer vision-based gait re…
Fully Automated Image De-fencing using Conditional Generative Adversarial Networks
Divyanshu Gupta, Shorya Jain, Utkarsh Tripathi +2
Image de-fencing is one of the important aspects of recreational photography in which the objective is to remove the fence texture present in an image and generate an aesthetically…
Broad Neural Network for Change Detection in Aerial Images
Shailesh Shrivastava, Alakh Aggarwal, Pratik Chattopadhyay
A change detection system takes as input two images of a region captured at two different times, and predicts which pixels in the region have undergone change over the time period.…