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DTSTART:19700329T010000
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CATEGORIES:Machine Learning @ CUED
SUMMARY:Presenting Hawk-Eye’s Skeletrack: Our machine lear
 ning approach to building a real time skeletal tra
 cking system for sports\, and how we're using it t
 o shape the future of fan engagement  - Lachan Tho
 rpe\, Hawk-Eye Innovations
DTSTART;TZID=Europe/London:20221114T130000
DTEND;TZID=Europe/London:20221114T140000
UID:TALK192554AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/192554
DESCRIPTION:Imagine you’re sitting at home watching your favou
 rite sport and you think the manager or referee ma
 kes a bad decision. But instead of shouting at the
  tv\, you just rewind and watch a virtual replay o
 f what would have happened if the decision had bee
 n different. Well in the not too distant future\, 
 you might be able to do just that. Over the past f
 ew years at Hawk-Eye Innovations\, we have been de
 veloping a state of the art\, real time\, 3D\, ske
 letal tracking system that has the potential to no
 t only revolutionise sports adjudication\, analyti
 cs and fan engagement\, but also provide us with s
 treams of tracking data\, unlocking a whole host o
 f opportunities for R&D in Machine Learning. This 
 talk will cover how we have built Skeletrack from 
 the ground up using machine learning as well as it
 ’s current applications (including Semi-Automatic 
 Offside  at the FIFA World Cup)\, the types of app
 roaches 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 Cam
 bridge University that will one day put you in the
  manager’s shoes.\n\nHere's a short video if you w
 ant to see Skeletrack in action:\nhttps://www.yout
 ube.com/watch?v=slVEXt7Jfxk
LOCATION:Lecture Theatre 6 (LT6)\, Department of Engineerin
 g
CONTACT:Dr R.E. Turner
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