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SUMMARY:Computational Neuroscience for Technology: Event-based Vision Sens
 ors and Information Processing - Dr Jorg Conradt\, Institute of Automation
  and Control Engineering\, TU Munich
DTSTART:20140826T140000Z
DTEND:20140826T150000Z
UID:TALK53751@talks.cam.ac.uk
CONTACT:Rachel Fogg
DESCRIPTION:In recent decades the field of Computer Vision has developed s
 ophisticated algorithms for problems such as object tracking or motion ext
 raction based on sequences of high-resolution camera images. Applying such
  algorithms in real-time robotics reveals an inherent problem: they typica
 lly require high data bandwidth and high processing power\, which results 
 in substantial computing machinery and/or delayed processing of data. As p
 art of an optimized biological solution for vision\, our brain developed r
 etinal receptor cells that largely respond with asynchronous events (“ne
 ural spikes”) to temporal changes of brightness. Such encoding of visual
  information substantially reduces the amount of transmitted data and simu
 ltaneously increases temporal precision.\nRecently “silicon retinas” h
 ave been developed as specialized vision sensor to provide such neuro-insp
 ired vision input for technical systems. Visual information obtained from 
 these sensors differs substantially from traditional sequences of images\,
  which requires an “event-based” redesign of computer vision algorithm
 s. This talk introduces the neuro-inspired vision sensors and presents eve
 nt-based algorithms for applications such as real-time computation of opti
 c flow and visual object tracking at high update rates on minimalistic com
 puting hardware.\n\nJörg Conradt is Assistant Professor at the Technische
  Universität München in the Faculty of Electronics and Information Techn
 ology\, Institute of Automation and Control Engineering. He holds an M.S. 
 degree in Computer Science / Robotics from the University of Southern Cali
 fornia\, a Diploma in Computer Engineering from TU Berlin and a Ph.D. in P
 hysics / Neuroscience from ETH Zurich. His research group on Neuroscientif
 ic System Theory (http://www.nst.ei.tum.de/research/NST) investigates key 
 principles by which information processing in brains works\, and applies t
 hose to real-world interacting technical systems.\n
LOCATION: Cambridge University Engineering Department\, Lecture Room 6
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