基于多分类器投票机的人体姿态识别算法

计算机与现代化

基于多分类器投票机的人体姿态识别算法

厦门大学信息科学与技术学院,福建厦门361005

收稿日期:2014-03-03 出版日期:2014-04-17 发布日期:2014-04-23
作者简介:作者简介：陈慧杰（1982），男，河北石家庄人，厦门大学信息科学与技术学院硕士研究生，研究方向：计算机视觉，行人检测与跟踪，人脸识别；谢毅雄（1987），男，福建安溪人，硕士研究生，研究方向：计算机视觉，图像处理，行人检测。

Human Posture Recognition Method Based on Multiple Classifiers

School of Information Science and Engineering, Xiamen University, Xiamen 361005, China

Received:2014-03-03 Online:2014-04-17 Published:2014-04-23

摘要/Abstract

摘要：

摘要：为了获得准确的人体姿态识别结果，满足智能视频监控的需求，提出一种融合Hu不变矩特征和傅里叶描述子特征的人体姿态识别算法，并将ReliefF算法引入特征选择过程中，区分特征的重要性，然后使用大数投票法构建多分类器投票机制进行姿态识别，该机制很好地发挥了各个分类器的优势，提高了识别的准确率。实验结果表明，提出的算法对各种姿态取得了很好的分类效果。

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关键词: , 姿态识别, Hu不变矩, 傅里叶描述子, 多分类器

Abstract:

Abstract: To get an accurate body posture recognition result and meet the needs of intelligent video surveillance, we present a fusion of Hu invariant moments and Fourier descriptors characteristics of human posture recognition algorithm. The ReliefF feature selection algorithm is introduced into the process, for distinguishing the importance of characteristics. Voting mechanism of using multiple classifier is constructed with large numbers to vote, plays good advantages of the various classifiers to improve the recognition accuracy. Finally, experimental results show that the proposed algorithm achieves good classification results for various postures.

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Key words:

Key words: posture recognition, Hu invariant moments, Fourier descriptors, multiple classifier

中图分类号:

TP391

陈慧杰，谢毅雄. 基于多分类器投票机的人体姿态识别算法[J]. 计算机与现代化.

CHEN Huijie, XIE Yixiong. Human Posture Recognition Method Based on Multiple Classifiers[J]. Computer and Modernization.

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