MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202541060553 A) filed by Sam Varghese George; Mahatishri J; Prabu Kanth U; and Kevin C, Chennai, Tamil Nadu, on June 25, for 'advanced sports analytics using deep learning for player and ball tracking with stride rate analysis.'
Inventor(s) include Sam Varghese George.
The application for the patent was published on July 11, under issue no. 28/2025.
According to the abstract released by the Intellectual Property India: "This document presents a novel framework designed for estimating stride rates in football, leveraging advanced computer vision and deep leaming techniques. The proposed architecture includes specialized modules for stride rate estimation, team classification, pitch configuration, and performance analysis, enabling effective tracking of player movements from high-resolution video recordings. Utilizing Convolutional Neural Networks (CNNs) for motion detection and perspective conection, along with temporal modeling for analyzing dynamic movements, the system delivers real-time performance with minimal eJTOr. Analysis of football match footage indicates an approximate success rate of 90.3% in stride rate estimation, with an enor margin of under 2%. Given the system's efficiency, there is significant potential for its application in both tactical decis.ionmaking and post-match analysis in football. Keywords- Stride Rate Estimation, Team Classification, Pitch Configuration, Deep Learning, computer vision, Motion Detection Temporal Modelling, Football Performance Analysis."
Disclaimer: Curated by HT Syndication.
