SS 2012 - Computer Vision: Object and People Tracking

Room and Time

Lecture: 48/462, Monday, 10:00-11:30
Exercise: DFKI, room 2.04 (second floor), 14:00-15:30 ( dates see below), bring your laptops
Exam: Oral exam


Prof. Dr. Didier Stricker 
Dr. Gabriele Bleser: Gabriele.Bleser(at) 


  • 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



The slides will be continuously added here:



Readings are given within the lectures. Three home assignments (in Matlab/Octave) will appear here:

Exercise/tutorial sessions are scheduled for 14.06.2012, 28.06.2012, 16.07.2012 (last lecture) (see above for room and time).

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 (
  • Y. Bar-Shalom, Estimation with Applications to Tracking and Navigation: Theory Algorthims and Software: Theory Algorithms and Software