Analysis and Recognition in Images and Video – Tentative list of topics

Tentative list of topics that will be explored

1. Introduction
   Computer vision and video analysis and their most popular applications.
   
2. Basic video data handling
   Reading/writing video files
   Processing tools in matlab
   Video formats
   Codec conversions
   
3. Feature detectors and descriptors
   Image features (Harris, Difference of Gaussians, SIFT)
   Video features (extension to 3D)
   
4. Motion estimation
   Optical flow estimation
   Parametric motion
   Feature-based methods
   Feature matching across frames
   
5. Visual summaries
   Image warping
   Mosaic composition
   Synopsis mosaics
   Image joiners
   
6. Video synthesis
   Video textures
   Dynamic textures
   
7. Object recognition
   Bag-of-features methods
   Part-based methods
   
8. Detecting people
   Explore state of the art works
   
9. 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