Face detection based on Adaptive Support Vector Tracker

This paper proposes a framework to track faces in color video sequences. The Adaptive Support Vector Tracker (ASVT) combines face detection with target tracking through using an adaptive filter in unconstrained videos. The adjacent locations of the target point are predicted in a search window reducing the number of image regions that are candidates for faces. Thus, the method can predict the object motion more accurately. The architecture is distinguished by the good results for both indoor and outdoor unconstrained videos, for scenes containing scale variation, partial occlusion, bad illumination and complex background. Brightness compensation is applied to improve the detection of faces in videos.