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SUMMARY:Computational Neuroscience for Robotics: Event-based Sensors and I
 nformation Processing
DTSTART:20130618T100000
DTEND:20130618T110000
DTSTAMP:20260406T184716Z
UID:e57fadda185922b2f021b8b3974c7930a88e4b6e7dd68293365a0255
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Jörg Conradt\nIn recent decades the field of Computer V
 ision has developed sophisticated algorithms for problems such as object t
 racking or motion extraction based on sequences of high-resolution camera 
 images. Applying such algorithms in real-time robotics reveals an inherent
  problem: they typically require high data bandwidth and high processing p
 ower\, which results in substantial computing machinery and/or delayed pro
 cessing of data. As part of an optimized biological solution for vision\, 
 our brain developed retinal receptor cells that mainly respond with asynch
 ronous events (“neural spikes”) to temporal changes of brightness. Suc
 h encoding of visual information substantially reduces the amount of trans
 mitted data and simultaneously increases temporal precision.\nRecently “
 silicon retinas” have been developed as specialized vision sensor to pro
 vide such neuro-inspired vision input for technical systems. Visual inform
 ation obtained from these sensors differs substantially from traditional s
 equences of images\, which requires an “event-based” redesign of compu
 ter vision algorithms. This talk introduces the neuro-inspired vision sens
 ors and presents event-based algorithms for applications such as real-time
  computation of optic flow and visual object tracking at high update rates
  on minimalistic computing hardware.\nBio:\nJörg Conradt is Assistant Pro
 fessor at the Technische Universität München in the Faculty of Electroni
 cs and Information Technology\, Institute of Automation and Control Engine
 ering. He holds an M.S. degree in Computer Science / Robotics from the Uni
 versity of Southern California\, a Diploma in Computer Engineering from TU
  Berlin and a Ph.D. in Physics / Neuroscience from ETH Zurich. His researc
 h group on Neuroscientific System Theory (http://www.nst.ei.tum.de/researc
 h/NST) investigates key principles by which information processing in brai
 ns works\, and applies those to real-world interacting technical systems.
LOCATION:QI-J 3 (Blue Brain Project Visualization Room)
STATUS:CONFIRMED
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