[1]王晶 杨煜.基于边缘方向直方图的Adaboost人脸检测[J].计算机技术与发展,2007,(12):5-7.
　WANG Jing,YANG Yu.Adaboost for Face Detection Based on Edge Orientation Histograms[J].,2007,(12):5-7.
点击复制

基于边缘方向直方图的Adaboost人脸检测()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年12期
页码:
5-7
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Adaboost for Face Detection Based on Edge Orientation Histograms
文章编号:
1673-629X（2007）12-0005-03
作者:
王晶 杨煜
同济大学电子与信息学院
Author(s):
WANG Jing;  YANG Yu
School of Electronics and Information, Tongji University
关键词:
边缘方向直方图; Adaboost; 人脸检测
Keywords:
edge orientation histograms;  Adaboost;  face detection
分类号:
TN911.73
文献标志码:
A
摘要:
在传统的Adaboost分类器算法中，采用色彩直方图或空间直方图作为提取特征，但这并不能充分描述图像目标的：特征，导致了目标检测和跟踪出现偏差。提出了一种基于边缘方向直方图的Adaboost人脸检测算法，使用空间分布和纹理信息作为提取特征。实验结果表明，该方法与传统Adaboost方法相比，准确率明显提高．而速度相当
Abstract:
Color histogram and spatial histogram are widely used as characters in traditional Adaboost classifiers, however, they are not sufficient for describing the information of the objects. This causes error in object detection and tracking based on Adaboost. Presents a new Adaboost algorithm based on edge orientation histograms, using space distributing and texture information as characters, and is used for face detection. Experiments proved the new algorithm is more accuracy than and as fast as tradition ones

相似文献/References:

[1]曹雁 刘宁钟 崔子冠.基于边缘方向直方图的H．264帧内预测快速算法[J].计算机技术与发展,2008,(05):60.
　CAO Yan,LIU Ning-zhong,CUI Zi-guan.Fast Algorithm for Intra- Prediction Mode Selection in H. 264/AVC Based on Edge Direction Histogram[J].,2008,(12):60.
[2]郝维来 郑同山.基于AdaBoost的集成分类器在电信增值业务中的应用[J].计算机技术与发展,2011,(03):197.
　HAO Wei-lai,ZHENG Tong-shan.Ensemble Classification Based on AdaBoost Algorithm and Its Application to Value-Added Services of Telecommunication Industry[J].,2011,(12):197.
[3]牛杰 钱堃.基于多尺度-多形状HOG特征的行人检测方法[J].计算机技术与发展,2011,(09):99.
　NIU Jie,QIAN Kun.Pedestrian Detection Based on Multi-Scale and Multi-Shape HOG Features[J].,2011,(12):99.
[4]徐丽珍.AdaBoost车牌检测算法的优化与实现[J].计算机技术与发展,2013,(06):86.
　XU Li-zhen.Optimization and Realization of AdaBoost-based License Plate Detection Algorithm[J].,2013,(12):86.
[5]郑权,刘循,魏海明.基于学习的霍夫变换线段组物体检测算法[J].计算机技术与发展,2014,24(01):26.
　ZHENG Quan,LIU Xun,WEI Hai-ming.An Object Detection Algorithm of Hough Transform Line Segmentation Groups Based on Learning[J].,2014,24(12):26.
[6]崔凤焦.表情识别算法研究进展与性能比较[J].计算机技术与发展,2018,28(02):145.[doi:10．3969/j．issn．1673－629X．2018．02．031]
　CUI Feng-jiao.Ｒesearch and Performance Comparison of Facial Expression Ｒecognition Algorithm[J].,2018,28(12):145.[doi:10．3969/j．issn．1673－629X．2018．02．031]
[7]潘艺,李玉恵,杨敏,等. 基于DCT域的车标定位方法研究[J].计算机技术与发展,2016,26(04):70.
　PAN Yi,LI Yu-hui,YANG Min,et al. Research on Vehicle Logo Localization Method Based on DCT Domain[J].,2016,26(12):70.
[8]冯小建,马明栋,王得玉.基于改进的 Adaboost 算法的人脸检测系统[J].计算机技术与发展,2019,29(03):89.[doi:10.3969/ j. issn.1673-629X.2019.03.019]
　FENG Xiao-jian,MA Ming-dong,WANG De-yu.Face Detection System Based on Improved Adaboost Algorithm[J].,2019,29(12):89.[doi:10.3969/ j. issn.1673-629X.2019.03.019]
[9]周 康,曲卫东,杨艺琛.基于增强 BiLSTM 的网络文章核心实体识别[J].计算机技术与发展,2021,31(01):7.[doi:10. 3969 / j. issn. 1673-629X. 2021. 01. 002]
　ZHOU Kang,QU Wei-dong,YANG Yi-chen.Core Entity Recognition of Web Articles Based on Enhanced BiLSTM[J].,2021,31(12):7.[doi:10. 3969 / j. issn. 1673-629X. 2021. 01. 002]

备注/Memo

备注/Memo:
王晶（1983-），女，硕士研究生，研究方向为图像处理、多媒体信息处理；导师：刘富强，教授，研究方向为图像处理、多媒体信息处理
更新日期/Last Update: 1900-01-01