Car detection in opencv

This is one of the results achieved by the free dataset for car detection on my blog here.  I have a plan to provide some basic scripts and code samples on how to learn the basic detector for OpenCV. This usually takes some time to go through and describe all the parts. However, the plan is to provide the whole video for testing on Google Drive after some anonymization improvements in the original video. Testing of car counting, classification, and traffic measurement.. This Video is not good for basic background subtraction. I recorded this video by hand and is still a little bit shaky.

• to work with dataset positive and negative samples 

Preparing data is half of the hard work if you want to build a good detector.. 

• some basic learning algorithms from scratch. (should take a little bit more time)

I already have some neural networks. I would like to show you how easy is to implement using the OpenCV mat and basic and opencv math.

• working with createsamples traincascade

This is a great tool but took some time, effort, and skills to achieve some good results. I would like to show some of them.