SS 2015 - Computer Vision: Object and People Tracking


Exercise 4 postponed to 15.07.2015!

Room and Time

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


Prof. Dr. Didier Stricker 
Dr. Gabriele Bleser
Dr. Alain Pagani
Stephan Krauss


  • 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:



Homework assignments (around 4 throughout semester) will consist of a theoretical (questions) and a practical part (Matlab implementation).

Answers to questions and implementations must be handed in:

  • Submission deadline, tutor and exercise session will be given on each assignment
  • Groups of up to 4 students are allowed

Tutorial sessions will be given shortly after submission deadline:

  • Discussion of questions
  • Interactive solution of implementation tasks
  • Tentatively: Wednesdays, 2:15-3:45 pm, 32-411-PC

Make sure to be able to run Matlab, either on your laptop or a workstation in the PC pool. 

Exercise sheets

    Assignments will appear here and will be announced in the lecture:

    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 Algorithms and Software