| 基于最优轴投影特征的步态识别 |
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| 引用本文： | 江洁. 基于最优轴投影特征的步态识别[J]. 上海电力学院学报, 2010, 0(12) |
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| 作者姓名： | 江洁 |
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| 作者单位： | 北京航空航天大学仪器科学与光电工程学院精密光机电一体化技术教育部重点实验室; |
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| 基金项目： | 教育部新世纪优秀人才支持计划资助项目(NCET-08-36) |
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| 摘 要： | 提出了一种最优轴投影(OAP)特征来描述步态信息。首先用背景减除法得到序列图像中的轮廓,然后随机选一部分轮廓样本基于主成分分析(PCA)方法训练出最优轴,并基于最优轴提取每个轮廓点的OAP特征。在UCSD和SOTON数据库的实验结果显示,OAP特征包含了丰富的步态信息;和同类型方法相比,本文方法有较高的识别率,计算复杂度减小,识别速度提高。
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| 关 键 词： | 主成分分析(PCA)方法 最优轴投影(OAP) 步态信息 |
Gait recognition based on optimal-axis projection features |
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| JIANG Jie. Gait recognition based on optimal-axis projection features[J]. Journal of Shanghai University of Electric Power, 2010, 0(12) |
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| Authors: | JIANG Jie |
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| Affiliation: | Key Laboratory of Precision Optomechatronics Technology,EMC,School of Instrumental Science , Optoelectronics Engineering,Beijing University of Aeronautics , Astronautics,Beijing 100083,China, |
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| Abstract: | A new gait feature called as optimalaxis projection(OAP) is proposed as gait information in this paper.First,the background subtraction is used to extract silhouettes from the regional image sequences.Then we randomly select some silhouette sequences to train the optimal axis based on the principal component analysis(PCA) method,and extract the OAP features through the optimal axis.Experiments on UCSD and SOTON database show that the OAP features contain abundance of gait information.Compared with the same ... |
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| Keywords: | principal component analysis(PCA) method optimal axis projection(OAP) gait information |
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