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SUMMARY:Presenting Hawk-Eye’s Skeletrack: Our machine learning approach 
 to building a real time skeletal tracking system for sports\, and how we'r
 e using it to shape the future of fan engagement  - Lachan Thorpe\, Hawk-E
 ye Innovations
DTSTART:20221114T130000Z
DTEND:20221114T140000Z
UID:TALK192554@talks.cam.ac.uk
CONTACT:Dr R.E. Turner
DESCRIPTION:Imagine you’re sitting at home watching your favourite sport
  and you think the manager or referee makes a bad decision. But instead of
  shouting at the tv\, you just rewind and watch a virtual replay of what w
 ould have happened if the decision had been different. Well in the not too
  distant future\, you might be able to do just that. Over the past few yea
 rs at Hawk-Eye Innovations\, we have been developing a state of the art\, 
 real time\, 3D\, skeletal tracking system that has the potential to not on
 ly revolutionise sports adjudication\, analytics and fan engagement\, but 
 also provide us with streams of tracking data\, unlocking a whole host of 
 opportunities for R&D in Machine Learning. This talk will cover how we hav
 e built Skeletrack from the ground up using machine learning as well as it
 ’s current applications (including Semi-Automatic Offside  at the FIFA W
 orld Cup)\, the types of approaches and problems we see day to day within 
 the Machine Learning team at Hawkeye\, and finally the project that we are
  currently working on with Cambridge University that will one day put you 
 in the manager’s shoes.\n\nHere's a short video if you want to see Skele
 track in action:\nhttps://www.youtube.com/watch?v=slVEXt7Jfxk
LOCATION:Lecture Theatre 6 (LT6)\, Department of Engineering
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