Semi-supervised evaluation of face recognition in videos
Valentin Biaud, Vincent Despiegel, Catherine Herold, Olivier Beiler, Stéphane Gentric · 2013
With the deployment of cameras for security control or identity verification, video streams become a common input for people tracking, behavior analysis or face recognition. Various methods have been proposed for these purposes, but their evaluation remains a core topic today. Indeed, due to the among of data in video streams, manual annotations limit the ground truth information that can be generated in reasonable time. Moreover, to validate an algorithm, various video streams should be used for the evaluation, to cover the variety of existing scenarios. The manual labeling of such a mass of data represents a considerable task.