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SUMMARY:Camera Calibration in Sports\, F. Magera\, Seminar - Floriane Mage
 ra\, EVS\, University of Liege
DTSTART:20260129T150000Z
DTEND:20260129T160000Z
UID:TALK243847@talks.cam.ac.uk
CONTACT:Olaf Wysocki
DESCRIPTION:Dear CV Enthusiasts\,\n\nIt is an immense pleasure to invite y
 ou to the seminar given by Floriane Magera on “Camera Calibration in Spo
 rts” (attached). \n\nIt is a hybrid seminar taking place in Seminar Room
 \, Civil Engineering Building\, 7a JJ Thomson Ave\, Cambridge CB3 0FA (WES
 T SITE ) but also streamed online (see the flyer and below). Organised by 
 CV4DT (https://cv4dt.github.io/) and new initiative – CAMCV (https://cam
 cv.github.io/) – which is seeking new contributors.\n\nSee you at 15:00\
 , Thursday\, 29.01.26!\n\nFeel free to share this invite and the attached 
 flyer with your colleagues! \n\n*Bio*\n\nFloriane Magera is Innovation Eng
 ineer at EVS Broadcast Equipment and PhD student at the University of Liè
 ge under the supervision of Prof. Marc Van Droogenbroeck. Her research foc
 uses on enabling augmented reality graphics in sports content. She authore
 d pioneering research on camera calibration and tracking for sports broadc
 asting published at international conferences (CVPR\, WACV). She has also 
 co-organized research challenges around camera calibration\, sports field 
 detection\, and game state reconstruction through the SoccerNet community 
 — featuring annually at CVPR since 2021. Recently\, she was a visiting r
 esearcher in the Computer Vision and Geometry Group (CVG)\, ETH Zurich\, l
 ed by Prof. Marc Pollefeys.  \n\n\n*Abstract*\n\nCamera calibration enabl
 es many sports technologies we now take for granted—from player tracking
  and match analytics to semi-automated officiating. This talk shares resul
 ts from Floriane's PhD that addresses the fundamental computer vision chal
 lenges of camera calibration which solve practical challenges in unconstra
 ined\, real-world sports settings. \nThe presentation centers on ‘calibr
 ation in the wild\,’ leveraging known pitch geometries as geometric prio
 rs. It begins by outlining how industrial constraints can be reconciled wi
 th rigorous academic benchmarking\, enabling systematic comparison of cali
 bration approaches. It then covers practical methods for calibrating broad
 cast cameras from a single frame and for exploiting temporal information t
 o improve robustness and support stable camera tracking over time. Finally
 \, it discusses difficult edge cases and failure modes observed in product
 ion. The work is validated in operational broadcast pipelines and dissemin
 ated through peer-reviewed computer vision venues\, bridging research obje
 ctives with large-scale deployment requirements.\n\n\n\nCheers\,\n\nOlaf\n
 \nMicrosoft Teams meeting Join: https://teams.microsoft.com/meet/367619882
 77789?p=4Wx3oVJ2rnXEijPWBb\n\nMeeting ID: 367 619 882 777 89\n\nPasscode: 
 7L8PH2pS
LOCATION:Hybrid\, Seminar Room (1st floor)\, Civil Engineering Building\, 
 7a JJ Thomson Ave\, Cambridge CB3 0FA
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