The Innovative Role of Process Mining in building Face Re-identification Trajectory
Face recognition and tracking technology have witnessed significant advancements during the recent decades. These advancements include improved accuracy and speed in identifying and tracking individuals, as well as the ability to recognize faces in various scale and lighting conditions. Leveraging t...
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| Format: | Article |
| Language: | English |
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D. G. Pylarinos
2024-02-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | https://etasr.com/index.php/ETASR/article/view/6667 |
| _version_ | 1797319270808420352 |
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| author | Amirah Alharbi |
| author_facet | Amirah Alharbi |
| author_sort | Amirah Alharbi |
| collection | DOAJ |
| description | Face recognition and tracking technology have witnessed significant advancements during the recent decades. These advancements include improved accuracy and speed in identifying and tracking individuals, as well as the ability to recognize faces in various scale and lighting conditions. Leveraging the potential of face recognition and tracking, this article explores the integration of process mining techniques to discover and visualize face’s appearing trajectories in crowd scenarios, aiming to enhance crowd security, surveillance, and personal identification. Notably, existing face recognition tools typically focus on bounding box localization, neglecting the utilization of face coordinates to construct trajectory models upon face re-identification. In this paper, full system architecture for building a trajectory model of re-identified faces in a crowd is proposed. This approach significantly helped in building a large database of visitor faces, and the proposed trajectory model resulted in a high rate of true positive face re-identification.
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| first_indexed | 2024-03-08T04:04:28Z |
| format | Article |
| id | doaj.art-3746b14767974702b735397eb59dbf6a |
| institution | Directory Open Access Journal |
| issn | 2241-4487 1792-8036 |
| language | English |
| last_indexed | 2024-03-08T04:04:28Z |
| publishDate | 2024-02-01 |
| publisher | D. G. Pylarinos |
| record_format | Article |
| series | Engineering, Technology & Applied Science Research |
| spelling | doaj.art-3746b14767974702b735397eb59dbf6a2024-02-09T06:05:57ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362024-02-0114110.48084/etasr.6667The Innovative Role of Process Mining in building Face Re-identification TrajectoryAmirah Alharbi0Computer Science and Artificial Intelligence Department, Umm Al Qura University, Saudi ArabiaFace recognition and tracking technology have witnessed significant advancements during the recent decades. These advancements include improved accuracy and speed in identifying and tracking individuals, as well as the ability to recognize faces in various scale and lighting conditions. Leveraging the potential of face recognition and tracking, this article explores the integration of process mining techniques to discover and visualize face’s appearing trajectories in crowd scenarios, aiming to enhance crowd security, surveillance, and personal identification. Notably, existing face recognition tools typically focus on bounding box localization, neglecting the utilization of face coordinates to construct trajectory models upon face re-identification. In this paper, full system architecture for building a trajectory model of re-identified faces in a crowd is proposed. This approach significantly helped in building a large database of visitor faces, and the proposed trajectory model resulted in a high rate of true positive face re-identification. https://etasr.com/index.php/ETASR/article/view/6667process miningface recognitionface detectioncrowd managementsurveillancesmart city |
| spellingShingle | Amirah Alharbi The Innovative Role of Process Mining in building Face Re-identification Trajectory Engineering, Technology & Applied Science Research process mining face recognition face detection crowd management surveillance smart city |
| title | The Innovative Role of Process Mining in building Face Re-identification Trajectory |
| title_full | The Innovative Role of Process Mining in building Face Re-identification Trajectory |
| title_fullStr | The Innovative Role of Process Mining in building Face Re-identification Trajectory |
| title_full_unstemmed | The Innovative Role of Process Mining in building Face Re-identification Trajectory |
| title_short | The Innovative Role of Process Mining in building Face Re-identification Trajectory |
| title_sort | innovative role of process mining in building face re identification trajectory |
| topic | process mining face recognition face detection crowd management surveillance smart city |
| url | https://etasr.com/index.php/ETASR/article/view/6667 |
| work_keys_str_mv | AT amirahalharbi theinnovativeroleofprocessmininginbuildingfacereidentificationtrajectory AT amirahalharbi innovativeroleofprocessmininginbuildingfacereidentificationtrajectory |