no code implementations • 20 Jun 2022 • Abhishek Paul, Manav Mukesh Jain, Jinesh Jain, Pratik Chattopadhyay
Gait-based person identification from videos captured at surveillance sites using Computer Vision-based techniques is quite challenging since these walking sequences are usually corrupted with occlusion, and a complete cycle of gait is not always available.
no code implementations • 26 Feb 2022 • Ankit Sinha, Soham Banerjee, Pratik Chattopadhyay
Each of the models is fine-tuned using appropriate data sets for better prediction and data augmentation is performed on each query image to prepare an extensive gallery set for fine-tuning the ResNet-18-based product recognition model.
no code implementations • 5 Aug 2020 • Aryansh Omray, Samyak Jain, Utsav Krishnan, Pratik Chattopadhyay
Video Denoising is one of the fundamental tasks of any videoprocessing pipeline.
no code implementations • 7 May 2020 • Nirbhay Kumar Tagore, Ayushman Singh, Sumanth Manche, Pratik Chattopadhyay
Automated person re-identification in a multi-camera surveillance setup is very important for effective tracking and monitoring crowd movement.
no code implementations • 14 Dec 2019 • Dhritimaan Das, Ayush Agarwal, Pratik Chattopadhyay, Lipo Wang
Over the past decade, several computer vision-based gait recognition approaches have been proposed in which walking information corresponding to a complete gait cycle has been used to construct gait features for person identification.
no code implementations • 19 Aug 2019 • Divyanshu Gupta, Shorya Jain, Utkarsh Tripathi, Pratik Chattopadhyay, Lipo Wang
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 pleasing version of the same image without the fence texture.
no code implementations • 28 Feb 2019 • Shailesh Shrivastava, Alakh Aggarwal, Pratik Chattopadhyay
Since pixel-based analysis can be erroneous due to noise, illumination difference and other factors, contextual information is usually used to determine the class of a pixel (changed or not).