People re-identification across non-overlapping cameras using group features

被引：19

作者：

Ukita, Norimichi ^{[1
]}

Moriguchi, Yusuke ^{[1
]}

Hagita, Norihiro ^{[1
]}

机构：

[1] Nara Inst Sci & Technol, Grad Sch Informat Sci, 8916-5 Takayama, Nara 6300192, Japan

来源：

COMPUTER VISION AND IMAGE UNDERSTANDING | 2016年 / 144卷

关键词：

People re-identification; Non-overlapping cameras; People grouping;

D O I：

10.1016/j.cviu.2015.06.011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes methods for people re-identification across non-overlapping cameras. We improve the robustness of re-identification by using additional group features acquired from the groups of people detected by each camera. People are grouped by discriminatively classifying the spatio-temporal features of their trajectories into those of grouped people and non-grouped people. Thereafter, three group features are obtained in each group and utilized with other general features of each person (e.g., color histogram, transit time between cameras, etc.) for people re-identification. Our experimental results have demonstrated improvements in people grouping and people re-identification when our proposed methods have been applied to a public dataset. (C) 2015 Elsevier Inc. All rights reserved.

引用

页码：228 / 236

页数：9