--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/LICENSE	Sun Mar 13 17:18:17 2011 -0400
@@ -0,0 +1,19 @@
+Copyright (c) 2009-2011 Nicolas Saunier
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/README	Sun Mar 13 17:18:17 2011 -0400
@@ -0,0 +1,19 @@
+This work is a set of tools developed by Nicolas Saunier for transportation analysis, in particular road traffic. The tool resolves around the most typical transportation data type, trajectories, i.e. temporal series of positions. The original work targeted automated road safety analysis using video sensors. 
+
+This piece of software is at a very early stage and does not really provide any finished tool. It contains:
+
+- pieces of C++ code under the c directory, mostly examples related to the use of computer vision libraries, namely OpenCV and KLT (http://www.ces.clemson.edu/~stb/klt)
+
+- python modules that provide classes for trajectories and moving objects (objects with some characteristics and a trajectory)
+
+Example:
+
+The main use case and example for now is to load and analyze trajectory data from the NGSIM project (ngsim-community.org). In a ipython shell with the pylab option, you can try the following (once the python modules are in your python path). 
+
+import storage
+objects = storage.loadNgsimFile('./trajectories-0400-0415.txt',100)
+for o in objects: o.draw()
+
+The code is licensed under the MIT open source license (http://www.opensource.org/licenses/mit-license).
+
+Contact me at nicolas.saunier@polymtl.ca and learn more about my work at http://nicolas.saunier.confins.net.
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