Nick Rutar

Project Proposal



Track 1

Implement and compare 2-3 different trajectory matching algorithms using:
   -Dynamic Time Warping
   -Hidden Markov Models

Track 2

This track is involving pose estimation. The program ideally would take images from 2+ cameras and would compare them to those generated for the 3D model. The virtual world would generate poses and attributes to match the real world, assigning fitness values as it goes, until a pose is determined by the virtual world to match the real world. The project would start out frame by frame with comparisons to the virtual world. It would then generate images to match those occurring in the real world. However, after an optimal algorithm is perfected the hope is that the program would run in real time, in comparisons and image generation.


Goals:

My goals depend on what track I take. There are two possible tracks that I will take for this independent study, dependent on what opportunities look best after the code is cleaned up next semester. Both tracks would have a goal of creating, and possibly publishing, a final paper.

Timeline:

Jan 17th - 26th:
     Clean Up Code
     Gather Links/Papers

Jan 27th - Feb 9th:
    Document Code
     Gather Links/Paper

Feb 10th - May 20th:
   Track 1 or Track 2
   More details
   in the future.

Grading Criteria:

50%
   Project Progress and
   Weekly documentation

25%
   Code Documentation
       -commenting existing code
      -map of existing code

25%
   Final Paper