Re-Ranking For Person Re-Identification

被引：0

作者：

Vu-Hoang Nguyen ^{[1
]}

Thanh Duc Ngo ^{[1
]}

Nguyen, Khang M. T. T. ^{[1
]}

Duc Anh Duong ^{[1
]}

Kien Nguyen ^{[2
]}

Duy-Dinh Le ^{[2
]}

机构：

[1] Univ Informat Technol, VNU HCM, Multimedia Commun Lab, Ho Chi Minh City, Vietnam

[2] Natl Inst Informat, Tokyo, Japan

来源：

2013 INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR) | 2013年

关键词：

Person Re-Identification; Re-Ranking; SDALF; Cumulative Matching Characteristic; Area Under Curve;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Person Re-Identification problem aims at matching people across a network of non-overlapping cameras. When multiple probe people appear concurrently, human could compare them together to give a more accurate matching. However, existing approaches treat each probe person independently, skipping the concurrent information. In this paper, we propose a re-ranking method which utilize that kind of information to refine ranked lists produced by any person re-identification method to create more precise ranked lists. The experimental results on VIPeR dataset show the improved performance when our method is applied.

引用

页码：304 / 308

页数：5

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