| 新型人脸检测算法在视频监控系统中的应用 |
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| 引用本文： | 徐显日,戴在平,蔡灿辉.新型人脸检测算法在视频监控系统中的应用[J].电视技术,2008,32(4):89-91. |
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| 作者姓名： | 徐显日 戴在平 蔡灿辉 |
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| 作者单位： | 华侨大学,信息科学与工程学院TI数字信号处理方案解决实验室,福建,泉州,362011 |
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| 摘 要： | 该算法基于Gentle Adaboost的多特征融合,首先通过运动和肤色特征提取人脸区域,再使用多层分类器定位人脸,最后在TMS320DM642 DSP上实现.实验表明,该算法的检测率达96%,速度也满足监控的要求.
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| 关 键 词： | 人脸检测 边缘能量 视频监控 |
| 文章编号： | 1002-8692(2008)04-0089-02 |
| 修稿时间： | 2008年3月6日 |
Application of New Face Detecting Algorithm in Video Surveillance System |
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| XU Xian-ri,DAI Zai-ping,CAI Can-hui.Application of New Face Detecting Algorithm in Video Surveillance System[J].Tv Engineering,2008,32(4):89-91. |
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| Authors: | XU Xian-ri DAI Zai-ping CAI Can-hui |
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| Affiliation: | XU Xian-ri,DAI Zai-ping,CAI Can-hui (TI Digital Signal Processing Laboratory,Information Science , Engineering College,Huaqiao University,Fujian Quanzhou 362011,China) |
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| Abstract: | The algorithm is proposed by using multi-feature fusion of Gentle Adaboost. First, the face areas are extracted elementary based on the characteristics of motion and complexion. And then, the multilayer classifier is used to locate the face areas exactly. Finally, the algorithm is realized on TMS320DM642 DSP. The experimental results of the algorithm show that the detection rate is up to 96%, and the speed can also meet the requirements of surveillance. |
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| Keywords: | face detection fringe energy video surveillance |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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