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Tentative list of topics that will be explored
- Introduction
Computer vision and video analysis and their most popular applications.
- Basic video data handling
Reading/writing video files
Processing tools in matlab
Video formats
Codec conversions
- Feature detectors and descriptors
Image features (Harris, Difference of Gaussians, SIFT)
Video features (extension to 3D)
- Motion estimation
Optical flow estimation
Parametric motion
Feature-based methods
Feature matching across frames
- Visual summaries
Image warping
Mosaic composition
Synopsis mosaics
Image joiners
- Video synthesis
Video textures
Dynamic textures
- Object recognition
Bag-of-features methods
Part-based methods
- Detecting people
Explore state of the art works
- Action recognition
Bag-of-features methods
Part-based method
Frame-by-frame methods
Spatio-temporal methods
High resolution recognition
Low-resolution recognition
Real-time methods
Off-line methods