Face Pose Estimation and its Application in Video Shot Selection
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
From Stills to Video: Face Recognition Using a Probabilistic Approach
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
FPGA-based configurable systolic architecture for window-based image processing
EURASIP Journal on Applied Signal Processing
A dynamic reconfigurable hardware/software architecture for object tracking in video streams
EURASIP Journal on Embedded Systems
Real Time Hot Spot Detection Using FPGA
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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Video face recognition is widely used for security surveillance and other applications in which the information about faces is extracted and processed. One of the problems usually present in video face recognition is to determine in real time the suitable images for the good performance of the algorithms, taking into account that although computers keep getting faster, the amount of information to process is higher than the capacity of image processing algorithms available. In this work we propose a method that allows to obtain in real time the best image of each person present in the scene from a sequence of images, considering both image and face characteristics, and using FPGA technology to accelerate the image processing. With the proposed implementation of the method we managed to process 37 times more images per second, and 97% of the selected images proved to be adequate for face recognition.