计算机工程与应用2016，Vol.52Issue(3)：127-132,149,7.DOI:10.3778/j.issn.1002-8331.1507-0303
能量图空间分解法和DSW相结合的步态识别
Gait recognition method based on space mass energy image and Dynamic Space Warping
摘要
Abstract
This paper proposes a gait recognition algorithm based on mass energy image and spectrum analysis. The method includes following steps:firstly, two-value silhouette sequences extraction is performed for each subject;active energy image is calculated by adding up the difference of each image in a sequence;the row mass vector and column mass vector are extracted respectively. Secondly, the space mass energy image is spectrum analysed by windowed and Fourier trans-form techniques, combining the extreme-value computing method to construct gait feature vector. It uses dynamic space warping for classification under space mass energy image and spectrum analysis. Enough experiments are performed on CASIA Dataset B. The final average recognition rate reaches 93%, and with a robustness of backpacks and clothes. The method has been demonstrated higher recognition rate than other methods.关键词
步态识别/活动能量图/分解向量/快速傅里叶变换/动态空间规整法Key words
gait recognition/Active Energy Image(AEI)/mass vector/Fast Fourier Transform algorithm(FFT)/Dynamic Space Warping(DSW)分类
信息技术与安全科学引用本文复制引用
李玲,罗正平,杨天奇..能量图空间分解法和DSW相结合的步态识别[J].计算机工程与应用,2016,52(3):127-132,149,7.基金项目
广州市科技计划项目资助(No.2014J4100107). （No.2014J4100107）
