Automatic Actor Recognition for Video Services on Mobile Devices

Face recognition is one of the most promising and successful applications of image analysis and understanding. Applications include biometrics identification, gaze estimation, emotion recognition, human computer interface, among others. A closed system trained to recognize only a predetermined number of faces will become obsolete very easily. In this paper, we describe a demo that we have developed using face detection and recognition algorithms for recognizing actors/actresses in movies. The demo runs on a Samsung tablet to recognize actors/actresses in the video. We also present our proposed method that allows user to interact with the system during training while watching video. New faces are tracked and trained into new face classifiers as video is continuously playing and the face database is updated dynamically.