基于图聚类的跨视频行人重识别

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1、分类号TP391学号14050008ＵＤＣ密级公开工学硕士学位论文基于图聚类的跨视频行人重识别硕士生姓名陈海生学科专业系统工程研究方向信息系统工程指导教师涂丹副教授国防科学技术大学研究生院二〇一六年十一月PedestrianRe-identificationbyGraphClusteringCandidate：ChenHaishengAdvisor：TuDanAdissertationSubmittedinpartialfulfillmentoftherequirementsforthedegreeofMasterofE

2、ngineeringin（SystemEngineering）GraduateSchoolofNationalUniversityofDefenseTechnologyChangsha，Hunan，P.R.ChinaNovember，2016国防科学技术大学研究生院硕士学位论文目录摘要................................................................................................................iiiABSTR

3、ACT........................................................................................................iv第一章绪论......................................................................................................11.1研究背景与意义....................................

4、.........................................................11.2国内外研究现状.............................................................................................21.2.1目标重识别特征....................................................................................21.2.

5、2目标重识别的学习................................................................................41.2.3图聚类相关理论....................................................................................41.3主要研究内容及贡献................................................................

6、.....................61.4论文结构.........................................................................................................8第二章跨视频行人重识别框架.......................................................................102.1跨视频行人重识别概述.............................

7、..................................................112.2图聚类相关理论...........................................................................................132.2.1规范化切准则......................................................................................142.2.2放松约束

8、条件下的几种算法..............................................................152.2.3度量指标..............................................................................