视频中的实时多视图人脸跟踪

Yao Li, Dong Zhong-fan
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引用次数: 0

摘要

本文提出了一种新的快速多视图人脸检测算法,用于彩色视频序列中的人脸检测。该算法可以集成到实时监控或视频检索或索引系统中。该算法利用了肤色对视觉不敏感、计算量小的优点,快速找到了肤色区域。由于人脸呈现椭圆形,采用K-L变换计算候选人脸区域的主轴方向。最后,利用训练好的Adaboost分类器对旋转校正后的候选人脸区域进行扫描,实现彩色人脸的检测。实验表明,该算法运行速度快,检测精度高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A real-time multi-view face tracking in videos
In this paper, we propose a novel and fast multi-view face detection algorithm for detecting face in color video sequences. This algorithm can be integrated into a real-time surveillance or a video retrieval or indexing system. The skin-color regions are found rapidly by utilizing the advantages that skin color is not sensitive to view and the algorithm has a small amount of calculation. As the face appears elliptical shape, the main axis' direction of candidate face region is calculated by K-L transform. Finally, the candidate face region corrected by rotating is scanned by trained Adaboost classifier as to achieve the detection of color faces. The experiments show that the proposed algorithm runs fast with good detection accuracy.
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