计算机工程与应用2017，Vol.53Issue(12)：185-189,240,6.DOI:10.3778/j.issn.1002-8331.1601-0064
基于特征融合的行人重识别方法
Person re-identification based on feature fusion
摘要
Abstract
Existing methods in person re-identification cannot describe the pedestrian well for significant intra-class varia-tions in illumination and viewpoint. In order to solve this problem, a method based on feature fusion is proposed. Firstly, the image is pre-processed using the Rentiex algorithm. Then the CN feature is combined with the color and texture fea-tures. Histograms are extracted through regional and block partition, and then the feature of image is obtained. Finally, per-son re-identification is performed on four public datasets with different metric learning methods. The experimental results show that the feature combined with CN achieves a stronger representation and increases the accuracy obviously.关键词
行人重识别/CN特征/特征融合/直方图Key words
person re-identification/CN feature/feature fusion/histogram分类
信息技术与安全科学引用本文复制引用
张耿宁,王家宝,张亚非,徐玉龙,苗壮..基于特征融合的行人重识别方法[J].计算机工程与应用,2017,53(12):185-189,240,6.基金项目
国家自然科学基金(No.61402519),江苏省自然科学基金(No.BK20140071,No.BK2012512). （No.61402519）
