Review of person re‐identification techniques
Person re‐identification across different surveillance cameras with disjoint fields of view has become one of the most interesting and challenging subjects in the area of intelligent video surveillance. Although several methods have been developed and proposed, certain limitations and unresolved iss...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-12-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2013.0180 |
| _version_ | 1797684556214566912 |
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| author | Mohammad Ali Saghafi Aini Hussain Halimah Badioze Zaman Mohamad Hanif Md. Saad |
| author_facet | Mohammad Ali Saghafi Aini Hussain Halimah Badioze Zaman Mohamad Hanif Md. Saad |
| author_sort | Mohammad Ali Saghafi |
| collection | DOAJ |
| description | Person re‐identification across different surveillance cameras with disjoint fields of view has become one of the most interesting and challenging subjects in the area of intelligent video surveillance. Although several methods have been developed and proposed, certain limitations and unresolved issues remain. In all of the existing re‐identification approaches, feature vectors are extracted from segmented still images or video frames. Different similarity or dissimilarity measures have been applied to these vectors. Some methods have used simple constant metrics, whereas others have utilised models to obtain optimised metrics. Some have created models based on local colour or texture information, and others have built models based on the gait of people. In general, the main objective of all these approaches is to achieve a higher‐accuracy rate and lower‐computational costs. This study summarises several developments in recent literature and discusses the various available methods used in person re‐identification. Specifically, their advantages and disadvantages are mentioned and compared. |
| first_indexed | 2024-03-12T00:31:28Z |
| format | Article |
| id | doaj.art-a3880436c8bb4584be943d1c1a9de1bc |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:31:28Z |
| publishDate | 2014-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-a3880436c8bb4584be943d1c1a9de1bc2023-09-15T10:15:58ZengWileyIET Computer Vision1751-96321751-96402014-12-018645547410.1049/iet-cvi.2013.0180Review of person re‐identification techniquesMohammad Ali Saghafi0Aini Hussain1Halimah Badioze Zaman2Mohamad Hanif Md. Saad3Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia (UKM)BangiMalaysiaFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia (UKM)BangiMalaysiaInstitute of Visual InformaticsUniversiti Kebangsaan Malaysia (UKM)BangiMalaysiaFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia (UKM)BangiMalaysiaPerson re‐identification across different surveillance cameras with disjoint fields of view has become one of the most interesting and challenging subjects in the area of intelligent video surveillance. Although several methods have been developed and proposed, certain limitations and unresolved issues remain. In all of the existing re‐identification approaches, feature vectors are extracted from segmented still images or video frames. Different similarity or dissimilarity measures have been applied to these vectors. Some methods have used simple constant metrics, whereas others have utilised models to obtain optimised metrics. Some have created models based on local colour or texture information, and others have built models based on the gait of people. In general, the main objective of all these approaches is to achieve a higher‐accuracy rate and lower‐computational costs. This study summarises several developments in recent literature and discusses the various available methods used in person re‐identification. Specifically, their advantages and disadvantages are mentioned and compared.https://doi.org/10.1049/iet-cvi.2013.0180texture informationlocal colouroptimised metricsconstant metricssimilarity measuresdissimilarity measures |
| spellingShingle | Mohammad Ali Saghafi Aini Hussain Halimah Badioze Zaman Mohamad Hanif Md. Saad Review of person re‐identification techniques IET Computer Vision texture information local colour optimised metrics constant metrics similarity measures dissimilarity measures |
| title | Review of person re‐identification techniques |
| title_full | Review of person re‐identification techniques |
| title_fullStr | Review of person re‐identification techniques |
| title_full_unstemmed | Review of person re‐identification techniques |
| title_short | Review of person re‐identification techniques |
| title_sort | review of person re identification techniques |
| topic | texture information local colour optimised metrics constant metrics similarity measures dissimilarity measures |
| url | https://doi.org/10.1049/iet-cvi.2013.0180 |
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