METHOD FOR INTELLIGENTLY DETECTING/TRACKING FACE IN REAL-TIME THROUGH ACTIVE CAMERA USING CASCADE CLASSIFIER

摘要

PURPOSE: A method for intelligently detecting/tracking a face in real-time through an active camera using a cascade classifier is provided to satisfy calculation efficiency and detection performance at the same time by using the cascade classifier, and accept diversity such as lighting change, complex background, overlap/tilt of the face, and face area change. CONSTITUTION: An integrated image is generated. A hierarchically formed cascade classifier is generated. The face is tracked by using face position information tracked in real-time. The lighting change is accepted by applying a Gaussian filter and a comparing extension method. The overlap between the complex background and the face region, and profile are accepted by using a feature mask to extract features of the face. The tile of the face is accepted by using the rotated feature mask. Diverse face area sizes are accepted by performing scanning after forming a pyramid having multiple resolutions.