My name is Eugene, I'm on my fifth year of information technologies at the National Research University of Information Technologies, Mechanics and Optics of St. Petersburg, Russia. I would like to participate in GSoC 2012 and I'm interested in your project proposal of video based speed limit detector. But I have some questions about this project and its requirements:
1) I have several ideas about how to implement this project. The first thing that came to my mind is neural network. But this solution requires a large training set of images. Another way is to use OpenCV, which combines great number of various computer vision algorithms. Last thing I think about is libraries like this http://code.google.com/p/signfinder/, which developed for similar tasks. Is it permitted to use third-party libraries in this project?
2) In the application template there is a requirement to "provide a short example of an OSM XML document that represents a polygon way". This task is not related to the technologies used in the project of computer vision based speed limit detector. Whether it necessary to provide OSM XML anyway? And if not, do I need to provide any other test task to prove my knowledge?
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> The little 'test' we added to the application is just to show a general
> understanding of how OSM works.
This is good idea to know that if applicant is known to OSM or not.
I would like to ask, Are there any bug list of which students can
submit patches so that they can show their programming skill or
showing the previous work is enough.
Thank You.
--
Parveen Arora
www.parveenarora.in
E-Mail: ma...@parveenarora.in
2012/3/30 Graham Jones <grahamj...@gmail.com>:
Hi Graham,
This is good idea to know that if applicant is known to OSM or not.
> The little 'test' we added to the application is just to show a general
> understanding of how OSM works.
I would like to ask, Are there any bug list of which students can
submit patches so that they can show their programming skill or
showing the previous work is enough.
Thank You.
--
Parveen Arora
www.parveenarora.in
E-Mail: ma...@parveenarora.in
Евгений wrote
>
> The first thing that came to my mind is neural network. But this solution
> requires a large training set of images.
>
An initial step in the project is likely to be to acquire a training set of
road images with and without signs as all algorithms will need this at least
to some degree. I believe there are a number of people in the community that
have experimented with video based mapping and have collected videos while
driving that can be used to create a training set. There are also a number
of research papers on the topic and it might be possible to contact the
authors to see if one can obtain their training and test videos if
necessary.
Евгений wrote
>
> Another way is to use OpenCV, which combines great number of various
> computer vision algorithms.
> As long as the license is compatible, which in the case of OpenCV with
> BSD likely is, there is no direct reason not to use libraries where they
> make sense and I would say is encouraged. I definitely had the use of
> OpenCV in mind when proposing the project. The only problem with libraries
> could be that it might make the task of setting up and using this project
> harder for mappers than just downloading a josm plugin.
Евгений wrote
>
> Last thing I think about is libraries like this
> http://code.google.com/p/signfinder/, which developed for similar tasks.
> Is it permitted to use third-party libraries in this project?
>
The signfinder code was a GSoC 2009 project. Where relevant it surely can be
used. After all, the point of GSoC isn't a test or competition of how good a
coder is, but to create something that is maximally useful to the mentoring
organisation.
Евгений wrote
>
> 2) In the application template there is a requirement to "provide a short
> example of an OSM XML document that represents a polygon way". This task
> is not related to the technologies used in the project of computer vision
> based speed limit detector. Whether it necessary to provide OSM XML
> anyway? And if not, do I need to provide any other test task to prove my
> knowledge?
>
Imho, more importantly than the OSM XML is to have done a bunch of mapping
in your home town to get a feeling for how this all works and where the
current data collection and editing methods are tedious and therefore a
video based speed limit / road sign detector would simplify editing work
flow. After all, an important part of the project will be to integrate the
computer vision based detector into an OSM editor to ensure it is actually
useful to the mapping community. Never the less, writing the osm xml
document should be a fairly trivial task and shows that you have some
understanding of the internal data model used by the editors.
Good luck in applying,
Kai
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