2026-09-22T10:12:06Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/108109 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Huang, Thomas S Fu, Yang 2020-08-26T23:54:32Z 2020-08-26T23:54:32Z 2022-08-26T23:58:55Z 2020-04-14 2020-05 Artificial intelligence surveillance has become increasingly popular due to its security applications. Within this field, person re-identification (re-ID) is a. crucial topic, which aims at matching images of a person in one camera with the images of this person from other cameras. Considering the intensive appearance change of images of the same person, such as lighting, pose and viewpoint, person re-ID is a very challenging problem. In this thesis, we advocate addressing person re-ID by deep learning based methods, which have shown a much better representation ability and much stronger robustness to input data variation and corruption, compared to the traditional approaches. This thesis covers a series of problems involving re-ID including imagebased person re-ID and video-based person re-ID. We start by providing an overview of person re-ID. Following this, we show how to address different reID tasks accurately and efficiently, and our efforts have led to top-performing algorithms on all tasks. The thesis will conclude by describing several promising directions for future research. Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-05-01 The student, Yang Fu, accepted the attached license on 2020-04-13 at 21:07. The student, Yang Fu, submitted this Thesis for approval on 2020-04-13 at 21:14. This Thesis was approved for publication on 2020-04-14 at 17:12. DSpace SAF Submission Ingestion Package generated from Vireo submission #14974 on 2020-08-25 at 17:27:36 Made available in DSpace on 2020-08-26T23:54:32Z (GMT). No. of bitstreams: 2 FU-THESIS-2020.pdf: 2253503 bytes, checksum: 6738f1414aaaf82f25ca09c1cd5313e1 (MD5) LICENSE.txt: 4204 bytes, checksum: 528048187844d7c0bb864eda40dda2c9 (MD5) Previous issue date: 2020-04-14 Embargo set by: Seth Robbins for item 115719 Lift date: 2022-08-26T23:54:40Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Embargo set by: Seth Robbins for item 115719 Lift date: 2022-08-26T23:55:59Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Embargo set by: Seth Robbins for item 115719 Lift date: 2022-08-26T23:57:28Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Embargo set by: Seth Robbins for item 115719 Lift date: 2022-08-26T23:58:55Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only application/pdf http://hdl.handle.net/2142/108109 en Copyright 2020 Yang Fu Person re-ID Deep Learning Towards accurate person re-identification by deep learning text Thesis Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Thesis M.S.