AlexandreAlahiAlexandreAlahiAlexandreAlahiAlexandreAlahiAlexandreAlahiAlexandreAlahiAlexandreAlahiAlexandreAlahiAlexandreAlahi

Over the past years, I have collected data to understand human social dynamics in various scenes.

Here are low-resolution RGB videos + ground truth trajectories from multiple fixed and moving cameras monitoring the same scenes (indoor and outdoor) to improve object tracking and matching.

Please cite the following paper if you use the data:

Alexandre Alahi, Pierre Vandergheynst, Michel Bierlaire, and Murat Kunt.
Cascade of descriptors to detect and track objects across any network of cameras. 
Journal on Computer Vision and Image Understanding, 2010.
[pdf | bibtex ]

 
 
An Outdoor Scene Captured by:

- 1st Fixed camera (.avi) (.xml)

- 2nd Fixed camera (.avi) (.xml) - 1st Mobile (.avi) (.xml)

 

   

An Indoor Scene Captured by:

- 1st Fixed camera (.avi) (.xml)

- 2nd Fixed camera (.avi) (.xml) - 1st Mobile (.avi) (.xml)

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© alahi {at} stanford.edu
updated: October 2016

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