TLDAlgorithmThe first task was to select a feature. I found the answer in one of the documents.
The author just made a comparison, the method used is a stupid method. How can I find an optimization? This can be used as a good idea. I am mainly having limited time. If anyone has any idea or perseverance, I will do this. hope to tell me!
Understanding this feature selection requires a certain mathematical foundation,
1 Bayesian Probability Model
2 Mean-Shift Algorithm for tracking
3. Image Histogram
4 Fisher Discriminant
If you know more about these aspects, I think you can understand what I'm talking about.
The author mainly optimizes an expression.
F = W1 * r + W2 * g + W3 * B
Generally, image processing uses the default value for this expression. However, if you select the weights for image tracking, the background and items of the image can be distinguished!
(Because I am too lazy, I want to give specific instructions on how to get these values. I hope you will pay attention to your blog in a few days and leave a lot of messages to stimulate my enthusiasm. Heheh)
PS:
I recommend a few good blog posts on the above mathematical knowledge.
1. http://mindhacks.cn/2008/09/21/the-magical-bayesian-method/ (Bayesian)
2. http://download.csdn.net/detail/muzi198783/4135834 (mean-shift, Fisher)
3. Just look at the digital image processing book about the image histogram.