Person Re-identification by Features Fusion

摘要：

　　Person re-identification has an important role in the public security.The methods based on body segmentation have a good performance in distinguishing different people,but it will bring lots of calculation work.To solve this problem,a method combined color distribution fields and Weber Local Descriptor (WLD) is proposed.The method here takes advantage of the color distribution fields to extract the color information;and differential excitation in WLD to extract the texture information in images;and the gradient orientation to extract by orientation in WLD.The experiments show the method in this paper can achieve a good identification results in common data sets.

关键词： person re-identification color distribution fields Weber Local Descriptor differential excitation orientation

作者: Wan Xin Ge Dongdong Li Peng Ji Zhe

作者单位: National Computer Network Emergency Response Technical Team/Coordination Center of China China National Digital Switching System Engineering and Technology Research Center Zhengzhou,China National Computer Network Emergency Response Technical Team/Coordination Center of China

会议类型: 国际会议

会议名称: 2016IEEE第二届信息技术、网络、电子及自动化控制会议

会议地点: 重庆

会议语种:英文

页码: 285-289

在线出版日期: 2016-03-20（万方平台首次上网日期，不代表论文的发表时间）