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Face recognition from video typically involves two steps: face detection and face recognition. One of the problems associated with poor face recognition results is poor face detection. In this work, we devise a three-step strategy to prune a set of frames in a probe video to that subset in which the face is actually found and in which the matching scores are more reliable. We also exploit temporal...
This paper presents a detection system which uses information from a profile face detector and an ear detector to better localize true profiles. The system was tested on data from a simulated security checkpoint. Drivers' profiles were detected as their vehicles passed the camera. The detection rate for the multi-biometric detector is 95% with an average of 0.15 false detections per image. On the...
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