Trajectory Management and Analysis

• Data structure for trajectories?
  • dimention: 2D, 3D?
  • time dimension: constant sampling rate?
• Application data:
  • GPS: potentially different sampling rate
  • case of fixed point detection (BT)
  • tracking from video data: potential missing points (occlusion)
• Exceptions ??
• Python bindings: inspiration from OpenCV?
• Representation of clusters, motion patterns: prototypes, paths, Gaussian processes
• Use of Catch for tests (https://github.com/philsquared/Catch): header only

Data Sources

• http://www.rtreeportal.org/
• http://crawdad.cs.dartmouth.edu/data.php, eg http://crawdad.cs.dartmouth.edu/epfl/mobility
• http://research.microsoft.com/en-us/downloads/b16d359d-d164-469e-9fd4-daa38f2b2e13/default.aspx

Resources

• Vlachos (LCSS) http://alumni.cs.ucr.edu/~mvlachos/publications.html
• http://www-ctp.di.fct.unl.pt/~fb/gisruk2011_final.pdf
• http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5337231
• http://isl.cs.unipi.gr/pubs/theses/Frentzos_PhD_Thesis_EN.pdf