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Facial images with low resolution in surveillance sequences are hard to detect with traditional approaches, and the quality of these faces is a significant factor for human face recognition. A new technique called face scoring, which determines the face scores based on face quality, is proposed. It combines spirits of image-based face detection and essences of video object segmentation to filter out...
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background clustering technique to model the temporal distribution in RGB domain for each spatial position. Based on the proposed background model, the object mask generation process integrates noise reduction, cast shadow cancellation,...
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