Computer Vision: Object and People Tracking - SS 2012
Room and Time
Lecture: 48/462, Monday, 10:00-11:30
Exercise (on demand): 32-411-PC (possibly at DFKI), Wednesday, 14:00-16:00 (see below)
Exam: Oral exam

Contacts
Prof. Dr. Didier Stricker 
Dr. Gabriele Bleser:  This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Topics:

  • Camera model and image formation
  • Template tracking and feature descriptors
  • Background modelling and subtraction
  • Model-based tracking (CAD models, edge-features)
  • Object detection
  • Recursive Bayesian tracking
  • (Extended) Kalman filters
  • Motion and measurement models for visual tracking
  • Applications

Slides

The slides will be continuously added here:
Exercises

Readings are given within the lectures. Home assignments (three are planned in total) and tutorial sessions will be given in the second part of the lecture (about Baysian tracking) starting in June 2012. The practical implementation exercises are planned in Matlab (or Octave).
The tentative plan for the homeworks is:
  • First homework: appear at 04.06.2012
  • Second homework: appear at 18.06.2012
  • Third homework: appear at 02.07.2012

Exercise sessions are tentatively planned for 14.06.2012 and 28.06.2012. This will be fixed in June.


Bibliography (textbooks)

  • David A. Forsyth and Jean Ponce, Computer Vision: A Modern Approach
  • Richard Hartley and Andrew Zisserman, Multiple View Geometry in Computer Vision
  • Y. Ma, S. Soatto, J. Kosecka, S. Sastry, An invitation to 3D Vision, 2003
  • Giorgio Panin, Model-based visual tracking, ed. Wiley-Blackwell
  • Sebastian Thrun, Probabilistic Robotics (http://www.probabilistic-robotics.org/)
  • Y. Bar-Shalom, Estimation with Applications to Tracking and Navigation: Theory Algorthims and Software: Theory Algorithms and Software
 
3D Computer Vision - Winter 2011/12
Room and Time
Lecture: 48/462, Wednesday, 08:15-09:45, starting 19.10.2011
Exercise: 32/411, Monday, 17:00-19:00, starting 07.11.2011, possibly 21.11.2011
Exam: Oral exam. In order to qualify, a minimum average score of 60% in the exercises is required.

Prof. Dr. Didier Stricker 
Dr. Gabriele Bleser:  This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Tobias Nöll:  This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Johannes Köhler:  This e-mail address is being protected from spambots. You need JavaScript enabled to view it
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