G4-MidTerm
Input
- Video of a football game with a sufficient viewpoint of the field and players
- User input indicating which players are whom and who should be tracked
Layers
- The input football video
- The CG indicators that track the player and display additional information (ie. name)
Pipeline
- Raw video from DVDs of Georgia Tech football games.
- Convert raw video to format suitable for OpenCV
- Perform segmentation on video to identify different components
- Camera calibration
- Player tracking
- Visualization of tracked players
Progress
- Obtained football video in raw form
- Converted some video to format for OpenCV
- Examined samples of OpenCV tracking and drawing code
- Applied tracking sample programs to football footage
Camera tracking
Done:
- Simple line segmentation & edge detection. Clean-up with dillation & erosion filters.
- Created a model of the football field with all the yard lines, side lines and a sub set of the hashmarks
- Projection of model on video (the initial projection is estimated manually)
- Generation of sample points including normal search directions (this picture includes the projection of the expected hashmarks)
To Do
- Find closest edge in video along search normal
- Put random sample of motion vectors into system of linear equations, use least squares to solve this
- Evaluate solution with consensus of the other motion vectors (RANSAC)
- Update extrinsic parameters of camera
- Extend this to include intrinsic parameters of camera
Segmentation
- Iterate over pixels and throw out those belonging to the field and stadium/crowd
To Do
- Categorize pixels to as to what category they belong to (players, refs, etc.)
Tracking
- Researched various tracking algorithms
- Tested several blob tracking samples in openCV with our football footage
To Do
- Use information gained from segmentation to detect players and begin tracking their motion
- Modify sample tracking algorithms to improve performance
Timeline (completed steps/next steps)
02/27 – Project Proposal
03/08 – Literature review mostly complete
03/15 – MidTerm Report: Exploratory segmentation, calibration, tracking and visualization done.
03/27 – 1st Update Due: Segmentation, calibration, and basic tracking done.
04/03 – 2nd Update Due: Some visualization done.
04/10 – 3rd Update Due: Tracking, visualization improvements.
04/12 – Preview Showing of the Final Project
04/17 – 4th and Final Update Due: More tracking improvements.
04/26 – Showing off our hard work
Links to this Page
- DVFX 2007 Groups last edited on 2 May 2007 at 12:51 am by coppola-win.cc.gatech.edu
- G4-Final Report last edited on 1 May 2007 at 12:26 am by c-67-191-163-57.hsd1.ga.comcast.net