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SUMMARY:Part-based Tracking with Cascaded Regression of Neighbours - Xiaom
 eng Wang (University of Cambridge)
DTSTART:20171130T141500Z
DTEND:20171130T151500Z
UID:TALK94735@talks.cam.ac.uk
CONTACT:Alexander Simpson
DESCRIPTION:This talk will start with an introduction of visual tracking a
 nd its challenging properties. It focuses on a part-based tracking method 
 (TRIC-track) developed during my PhD. I will explain why the part-based me
 thod has advantages for modelling objects and how the 'direct displacement
  prediction' method can robustly estimate the target position. The implici
 t shape model and the ability of updating the shape model and appearance m
 odel jointly will also be presented.
LOCATION:SS03 Meeting Room\, Computer Laboratory
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