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Computer Vision: Object and People Tracking - SS 2013 |
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Room and Time
Lecture: 13/305, Monday, 08:15-09:45
Exercise: 32-411-PC, Wednesday, 14:00-16:00, on demand (see below)
Exam: oral
Contacts
Prof. Dr. Didier Stricker
Dr. Gabriele Bleser:
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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:
Exercises
Homework assignments (theoretical and practical part in Matlab) will appear here. Exercise/tutorial sessions will be scheduled on demand.
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
(Deadline: 06.05.2013, exercise session: 08.05.2013) |
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