News

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

Contacts

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

Topics

• 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

Slides

The slides will be continuously added here:

• 20.04.2015: Introduction
• 27.04.2015: Edge and corner detection
• 04.05.2015: Scale invariance and blob detection
• 11.05.2015: Feature descriptors
• 18.05.2015: Background subtraction (Updated)
• 01.06.2015: Optical Flow
• 08.06.2015: Introduction to Bayesian Tracking
• 15.06.2015: Kalman Filter
• 22.06.2015: Extended Kalman Filter
• 29.06.2015: Particle Filter
• 06.07.2015: Video Tracking
• 13.07.2015: Visual Object Tracking

Exercises

Policy

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:

• Matlab Introduction (As supplementary material, no submission)
• Exercise Sheet 1 (Deadline: 11.05., exercise session on 13.05.)
• Exercise Sheet 2 (Deadline: 22.05., exercise session on 27.05.)
• Exercise Sheet 3 (Deadline: 22.06., exercise session on 24.06.)
• Exercise Sheet 4 (Deadline: 06.07., exercise session on 08.07. --> postponed to 15.07.)

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 Algorithms and Software