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1. Software Environment
2. Data Generation
3. Codewords Generation
   1. CPU
   2. GPU
      
4. Support Vector Machine
5. Convolutional Neural Network (pending)
6. My Understanding 

1.Software Environment

The required software are listed below:

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http://docs.python-guide.org/en/latest/dev/virtualenvs/

2.Data Generation

6.My Understanding

I think this problem is not one of those that a typical neural network may be good at. 

I believe that currently, neural network is at most as good as human. Or it may be better than human sometimes but that is only because it may use more resource and be more stable. So if a task is in principle impossible for human, then it is highly poossible that no neural network can finish it. It seems to be that this is one of that kind of task.

Some of the images from the vcc are in principle impossible for human to recognize when then noise is too high.  We are able to pinpoint the spot only after the background subtraction. Thus the correlation between different images is crucial for this task.

Of course, the correlation is also important in classification problem. But the situaltion is different here. We need an exact correlation to do the right background subtraction.