Dieter_Laser

im not happy with the tracking algorithms of the cv-library for max. you cant track the profile of a face with this.

does somebody knows good librarys or programms i could use togehter with max, that track almost any faceposition for more than one face ?

good-face-tracking

faceAPI (windows only) offer a great face tracker for non commercial use (limited to one face). 

it does take a moment to "lock on" but will track faces in odd angles. i haven't seen better.

http://www.youtube.com/watch?v=7P7I7DOJJB0

faceAPI (windows only) offer a great face tracker for non commercial use (limited to one face). 
it does take a moment to "lock on" but will track faces in odd angles. i haven't seen better.http://www.youtube.com/watch?v=7P7I7DOJJB0 (warning stupid audio) 

there's also the crazyrussains but they use opencv and dont share


I haven't played with the cv.jit library too much, but see if it's possible to change the haar-like cascade. Wikipedia is a good start to learning about computer vision, but the o'rielly media book "OpenCV" is great: highly recommend.

I haven't played with the cv.jit library too much, but see if it's possible to change the haar-like cascade.  Wikipedia is a good start to learning about computer vision, but the o'rielly media book "OpenCV" is great: highly recommend.


http://www.frieder-weiss.de/eyecon/download.html

vvvv with open source library for contour tracking.

eyesweb http://www.infomus.org/EywMain.html

eyecon  http://www.frieder-weiss.de/eyecon/download.html

vvvv with open source library for contour tracking.


I found out that if I light up the scene pretty well (soft and bright), I have no problem detecting faces with cv.jit.faces, profiles and so on!

yes, you can change the cascade in [cv.jit.faces], send a message (read "cascade-filename.xml"), a file "haarcascade_profileface.xml" comes OpenCV among others.

also combining haar cascade detection with camshift tracking works well (detect a face, initialize camshift to track colors in the face region then use camshift to track the face region, which will continue to work even when haar feature detection doesn't (actually you can/should switch off [cv.jit.faces] until camshift loses its target).

I don't have an example in jitter though, I only did this in plan C ( 

http://www.youtube.com/user/femistofel#p/a/u/1/n18cGiZ8DGQ

yes, you can change the cascade in [cv.jit.faces], send a message (read "cascade-filename.xml"), a file "haarcascade_profileface.xml" comes OpenCV among others. 

also combining haar cascade detection with camshift tracking works well (detect a face, initialize camshift to track colors in the face region then use camshift to track the face region, which will continue to work even when haar feature detection doesn't (actually you can/should switch off [cv.jit.faces] until camshift loses its target). 

I don't have an example in jitter though, I only did this in plan C ( http://www.youtube.com/user/femistofel#p/a/u/1/n18cGiZ8DGQ )


The OpenCV 2.0 release has a decent profile face detection cascade, which I've used successfully in the past.

http://jmpelletier.com/data/haarFaceProfileCascade1.xml.zip

 (This is originally part of OpenCV, so please read the relevant part of the license.)

You'll have to flip your image, though, as this only recognizes faces pointing in a single direction. All in all, you'll need three cv.jit.faces objects.

cv.jit.faces uses OpenCV functionality pretty much as-is, so I take no credit for its performance. It is, however, based on the most widely used algorithm around. There may be better methods around, but this one has been proving itself for a few years now and it's still pretty close to state of the art. However, it is fairly dependent on the quality of the cascades you use, although the ones that ship with OpenCV and which I redistribute are pretty decent.

As artm mentioned, cv.jit.faces does face _detection_, which is different from face tracking. You can use trackers such as cv.jit.track and cv.jit.shift in tandem to get much better performance, but it's more work of course.

I put it up here: http://jmpelletier.com/data/haarFaceProfileCascade1.xml.zip (This is originally part of OpenCV, so please read the relevant part of the license.)

good face tracking ?