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1 Computing, Multimedia and Intelligent Techniques

1 2005

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Face based identification of people from a video stream

100%

Kukharev G. , Nowosielski A.

tom Vol. 1 nr 1

99-110

This paper presents an analysis of the problem of people identification based on the images of their faces received from a video stream. Considering a single scene image, the task of the identification consists of detection of faces and then the process of recognition follows. In a real-life face recognition system we have a sequence of consecutive images where the number of faces, their localizations, their sizes and orientations are unknown. Considering a video stream all those parameters listed above change with time but not significantly from frame to frame. By tracking a face in a sequence and aggregating individual results of face recognition, a much stable and reliable final recognition result may be obtained. Based on the analysis of the problem the algorithm for people identification from a video stream is developed.