초록

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Abstract ▼ AI-Helper

The surveillance system has been developed to be intelligent which can judge and cope by itself using human identification technique. In this paper, LDA-based long distance face recognition algorithm applicable to the environment of intelligent video surveillance system is proposed. While the exis...

The surveillance system has been developed to be intelligent which can judge and cope by itself using human identification technique. In this paper, LDA-based long distance face recognition algorithm applicable to the environment of intelligent video surveillance system is proposed. While the existing face recognition algorithm uses the short distance images for training images, the proposed algorithm uses face images by distance extracted from 1m to 5m for training images. Face images by distance, which are used for training images and verification images, are normalized through bilinear interpolation. Similarity measurement used the distance measures method of Euclidean Distance. The proposed algorithm has improved face recognition performance by 6.1% in short distance and 31.0% in long distance so it is applicable to the intelligent video surveillance system.

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