relativeattributesTowards Structured Analysis of Broadcast Badminton Videos

People Involved :Anurag Ghosh, Suriya Singh and C. V. Jawahar

Sports video data is recorded for nearly every major tournament but remains archived and inaccessible to large scale data mining and analytics. It can only be viewed sequentially or manually tagged with higher-level labels which is time consuming and prone to errors. In this work, we propose an end-to-end framework for automatic attributes tagging and analysis of sport videos.


FirstPersonActionRecognitionUsingDeepLearnedDescriptorsFirst Person Action Recognition

People Involved : Suriya Singh, Chetan Arora, C. V. Jawahar






usecaseCurrency Recognition on Mobile Phones

People Involved : Suriya Singh, Shushman Choudhury, Kumar Vishal and C.V. Jawahar

In this project, we present an application for recognizing currency bills using computer vision techniques, that can run on a low-end smartphone. The application runs on the device without the need for any remote server. It is intended for robust, practical use by the visually impaired.