Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time

Tuesday, May 21, 1:00 PM - 1:30 PM
Summit Track: 
Technical Insights II
Location: 
Mission City M1-M3

Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this means designing a fully-automated, robust, end-to-end pipeline; from visual input, to player and group activities, to player and team evaluation, to planning. Despite major advancements in computer vision and machine learning, sports analytics is still in its infancy and relies heavily on simpler descriptive statistics. This talk focuses on how the sports analytics industry operates, what makes sports the best test case to develop and test new computer vision systems, what the challenges are and how we have solved those problems and advanced the state of the art in computer vision and machine learning.

Speaker(s):

Mehrsan Javan

Chief Technology Officer, Sportlogiq

Mehrsan Javan, PhD, MBA, is the co-founder and CTO of Sportlogiq, the AI platform for sport analytics that provides real-time game insights to the professional leagues and media broadcasters using feeds from a single broadcast camera. He holds a PhD in computer vision and machine learning with over a decade of experience in building intelligent systems. At Sportlogiq, he is responsible for tech development and the planning of strategic research to build future technologies and products. His passion is new technologies with a particular interest in intelligent systems and their positive impacts on our daily life. He is also an adjunct faculty member in the ECE department of McGill University, has published numerous research articles in top tier journals and conferences which have been cited more than 850 times and holds several patents and pending patent applications.

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