Current page: Education and Training->On-line Cognitive Vision Course

Cognitive Computer Vision Course

Kingsley Sage and Hilary Buxton
University of Sussex

The preparation of this course was funded by ECVision under Specific Action 8-3

Course Outline

Lecture 1:    Introduction / What is CCV?
Lecture 2:    Generative and discriminative models
Lecture 3:    Graphical models / what are they?
Lecture 4:    Graphical models / Examples of different sorts and "family of models"
Lecture 5:    Probability thoery reminder, Bayes rule and Bayesian networks
Lecture 6:    Inference in Bayesian networks
Lecture 7:    Discrete HMMs
Lecture 8:    Gaussian Mixtures and continuous valued HMMs
Lecture 9:    Behaviour recognition: Bottom up/top-down vision. HIVIS, DBNs and DDNs, BAT
Lecture 10:   Visual task control: ActIPret
Lecture 11:   Learning in HMMs (discrete case)
Lecture 12:   Learning in HMM (continuous case) & stochastic sampling
Lecture 13:   Learning in BBNs, taxonomy of learning methods and 1 method in detail
                  (full observability and known structure)
Lecture 14:   Learning in BBNs, overview of other 3 methods
Lecture 15:   Active cameras, Bayes Nets and tasks - future challenges

The complete course is available for download in a zip file (215 Mb)

Individual lectures can also be viewed on-line or downloaded in zip files.

Lecture Number Powerpoint Slideshow Zip File Additional Material
Lecture 1 View Download (65 Mb) Notes.doc (33 kb)
Lecture 2 View Download (7.1 Mb)  
Lecture 3 View Download (1.0 Mb)  
Lecture 4 View Download (5.9 Mb)  
Lecture 5 View Download (1.2 Mb)  
Lecture 6 View Download (56 kb)  
Lecture 7 View Download (8.2 Mb) View Tutorial
View Coursework
Download Zip (42 kb)
Lecture 8 View Download (2.8 Mb)  
Lecture 9 View Download (12.6 Mb)  
Lecture 10 View Download (33.2 Mb)  
Lecture 11 View Download (61 kb) View Tutorial
View Coursework
Download Zip (109 kb)
Lecture 12 View Download (27.6 Mb)  
Lecture 13 View Download (286 kb)  
Lecture 14 View Download (39 kb)  
Lecture 15 View Download (49.7 Mb)  

Site generated on Friday, 06 January 2006