Attention-system-vision
From Wiki for iCub and Friends
The goal of this group is to identify the face of two persons in front of the iCub.
Demo of face tracking with the iCub
As a starting point, we found out that there is a demo in yarp that is detecting and tracking the face of one human. This demo was implemented by Ugo. Here is a summery of the steps needed to run this demo.
Goals
Ideally, we would like to detect (and not directly track) several faces, so that a specific saliency map can be created and inserted in the visual attention system.
Using openCV to detect faces (or eyes) :
It seems to be possible to detect multiple faces in an image with openCV, using haar transforms, as explained here : http://www.scribd.com/doc/4547752/opencv-objectdetection-2007june10 http://www.cognotics.com/opencv/servo_2007_series/part_2/sidebar.html There seems to be some example code there : http://robotworkshop-kumotek.blogspot.it/2011/04/programming-opencv22-face-detection.html If not using CV_HAAR_FIND_BIGGEST_OBJECT", multiple results (faces) might be returned. Eyes might possibly be detected too : http://python.dzone.com/articles/face-and-eyes-detection-opencv
