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What and Who
Title:People Detection and Tracking in Crowded Scenes
Speaker:Siyu Tang
coming from:Max-Planck-Institut für Informatik - D2
Speakers Bio:
Event Type:Promotionskolloquium
Visibility:D1, D2, D3, D4, D5, RG1, SWS, MMCI
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Level:Public Audience
Date, Time and Location
Date:Friday, 29 September 2017
Duration:60 Minutes
Building:E1 4
People are often a central element of visual scenes, particularly in real-world street scenes. Thus it has been a long-standing goal in Computer Vision to develop methods aiming at analyzing humans in visual data. Due to the complexity of real-world scenes, visual understanding of people remains challenging for machine perception. In this defense, I will discuss a number of diverse tasks that aim to enable vision systems to analyze people in realistic images and videos. In particular, I will present several novel models and algorithms which push the boundary of state-of-the-arts and result in superior performance.
Name(s):Connie Balzert
Video Broadcast
Video Broadcast:NoTo Location:
Tags, Category, Keywords and additional notes
Attachments, File(s):
Connie Balzert/MPI-INF, 09/06/2017 01:09 PM
Last modified:
halma/MPII/DE, 03/22/2018 12:00 AM
  • Connie Balzert, 09/06/2017 01:09 PM -- Created document.