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Track RECOGnition for Mobile Robots. Created at the University of São Paulo, Brazil.
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samples
.gitignore
LICENSE.txt
Makefile
README.md
trecog.cc

README.md

Track RECOGnition for Mobile Robots

This program is part of a project based on computer vision, artificial intelligence and robotics. Our objective is to find tracks in the visible path to mantain the vehicle securely between them.

This instance of our work is a single image treatment program that accepts as input an image file (JPG, TIFF, PNG, etc) and returns the lines corresponding to tracks. It uses OpenCV, an open source library for computer vision version 2.4+.

Installation

You need the OpenCV library installed in your computer to compile this program. Read out the OpenCV's documentation and wiki for more info.

To compile it:

make

I assume that the directory where the opencv header file (opencv2.hpp) is located is /usr/local/include/opencv2/. If it's different, you should change and export the environment variable INCLUDE_DIR. For example:

export INCLUDE_DIR=/path/to/opencv2/header
make

It should compile without errors if your instalation of OpenCV (2.4+) is correct. Open an issue on the issue tracker in case of problems.

The /samples folder contains some images to explore the possible outcomes of the program. The way to call this program is fairly straightforward:

./trecog [path/to/filename]

If you don't provide an argument, the program will use /samples/img1.jpg and, if it doesn't exist, it will generate an error.

License

Copyright (c) 2011-2013 Carlos Agarie

MIT LICENSE

See LICENSE.txt for details.

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