SS 2014 - Computer Vision: Object and People Tracking

Room and Time

Lecture: 13/305, Monday, 08:00-09:30
Exercise: 32-411-PC, Wednesday, 14:15-15:45, see below


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


  • Edge, corner and blob detection
  • Feature descriptors and matching
  • Background modelling and subtraction
  • Feature tracking and optical flow
  • Object detection
  • Recursive Bayesian tracking
  • (Extended) Kalman filter and particle filter
  • Applications


The slides will be continuously added here:


Please read the exercise policy (updated at 13.05.2014). Assignments will appear here:

  • Matlab Introduction (As supplementary material, no submission)
  • Exercise Sheet 1 (Deadline: 20.05., exercise session on 21.05.)
  • Exercise Sheet 2 (Deadline: 02.06., exercise session on 04.06.)
  • Exercise Sheet 3 (Deadline: 30.06., on 02.07. at DFKI, room 1.04)
  • Exercise Sheet 4 (Deadline: 21.07., exercise session on 13.08. at DFKI, room 1.04)

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