" A few years ago, two parents went out for dinner. A few hours later, the babysitter was calling to ask if she could cover up the clown statue in the kids' room,the father said,"Take the kids and get out of the house. We'll call thepolice, we don't have a clown statue." The "clown statue" is really a killer that escaped from jail.(true story)If you don't postthis letter on to 10 pagess tonight, the clown will be in your bed at 3:00 am with a chainsaw in his hand
Hi, Do you know the inner workings of the viola jones algorithm and the xml-structure? Like How do you normalize the resulting features calculated from the rectanlges? do you divide with the variance or the std deviation? In the paper it is the variance but some implementations on the internet use the std dev to normalize.
Ok, nobody else did, so I should provide you with the shortest possible answer: Since STD is the square root of VAR, your question boils down to "Is someValue / normalizingValue equivalent to someValue / sqrt(normalizingValue)". Nuff said?
yes. i am talking about the viola-jones paper. You didn't answer my question. You are full of rhetorical bullshit. I asked a simple question and didn't expect a convoluted answer. And FYI, I already found the answer, you normalize it using the STDDEV. Not the variance.
Is someValue / normalizingValue equivalent to someValue / sqrt(normalizingValue)" ??
It depends. if the normalizing value is 1 then it is equal? but if it is another number then it's not equal. nuff said?
listen if you want to get more hits you need to have a trendy themesong - i can't emphasize this any more!
video was super cool ... i don't know much about this computer vision stuff, but does this open CV let you load in some kind of a 'training set' to track whatever you want?
I don't care about hits. Yes, the classifier is a simulated neural network, which is "trained" with thousands of "positives" and thousands of "negatives".
Another severe limitation (for 'real world applications') is: this classifier works on the 'frontal face' only. In practice, it's sometimes impossible to place the camera exactly in front of the subject.
" A few years ago, two parents went out for dinner. A few hours later, the babysitter was calling to ask if she could cover up the clown statue in the kids' room,the father said,"Take the kids and get out of the house. We'll call thepolice, we don't have a clown statue." The "clown statue" is really a killer that escaped from jail.(true story)If you don't postthis letter on to 10 pagess tonight, the clown will be in your bed at 3:00 am with a chainsaw in his hand
sixtdfson 5 months ago
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JdlloPjdakj 1 year ago
Interesting
thiago24071983 2 years ago
Hi, Do you know the inner workings of the viola jones algorithm and the xml-structure? Like How do you normalize the resulting features calculated from the rectanlges? do you divide with the variance or the std deviation? In the paper it is the variance but some implementations on the internet use the std dev to normalize.
dbancajas 2 years ago
What's "the paper"? Are we talking about this one?:
@INPROCEEDINGS{Viola01robustreal-time, author = {Paul Viola and Michael Jones}, title = {Robust Real-time Object Detection}, booktitle = {International Journal of Computer Vision}, year = {2001}
}
piechulla1966 2 years ago
Ok, nobody else did, so I should provide you with the shortest possible answer: Since STD is the square root of VAR, your question boils down to "Is someValue / normalizingValue equivalent to someValue / sqrt(normalizingValue)". Nuff said?
piechulla1966 2 years ago
yes. i am talking about the viola-jones paper. You didn't answer my question. You are full of rhetorical bullshit. I asked a simple question and didn't expect a convoluted answer. And FYI, I already found the answer, you normalize it using the STDDEV. Not the variance.
Is someValue / normalizingValue equivalent to someValue / sqrt(normalizingValue)" ??
It depends. if the normalizing value is 1 then it is equal? but if it is another number then it's not equal. nuff said?
dbancajas 2 years ago
@dbancajas
Yes, I love rhetorical bullshit -- sometimes (it depends).
I do my thing, you do your thing.
I am not in this world to live up to your expectation.
And you are not in this world to live up to mine.
You are you and I am I.
And if by chance we find each other,
it's beautiful.
If not, it can't be helped.
piechulla1966 2 years ago
1:05 nice
spider853 2 years ago
listen if you want to get more hits you need to have a trendy themesong - i can't emphasize this any more!
video was super cool ... i don't know much about this computer vision stuff, but does this open CV let you load in some kind of a 'training set' to track whatever you want?
threelegduck 3 years ago
this kind of video is more a demonstration for researcher on how well does the algorithm work instead of showing cool thing.
in this case result and the quality of video is the only things matter
jk2l 3 years ago
It should be noted that the video is outdated. You can do this 10 times faster with the newest version of OpenCV.
piechulla1966 3 years ago
I don't care about hits. Yes, the classifier is a simulated neural network, which is "trained" with thousands of "positives" and thousands of "negatives".
piechulla1966 3 years ago
do youhave a software?? it is open?
thanks
arielmoron 3 years ago
This is the facedetect.c example of OpenCV with minor modifications. Check out the OpenCV library wiki.
Cheers, have fun!
piechulla1966 3 years ago
OPENCV harrcascading method :D
woow14610 4 years ago
aka "Cascade of Boosted Classifiers Based on Haar-like Features"
piechulla1966 4 years ago
cool... might work better if you could train the classifier on data with more noise or obstructions
swades1947 4 years ago
Another severe limitation (for 'real world applications') is: this classifier works on the 'frontal face' only. In practice, it's sometimes impossible to place the camera exactly in front of the subject.
piechulla1966 4 years ago
cool stuff diud you program that yourself ?
axewater 4 years ago
This is standard stuff. Just type "OpenCV" into your prefered search engine if you want to do it on your own!
piechulla1966 4 years ago