Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization
Video recorders record the output of each security camera. After an incident, the video footage can be used for evidence by locating a suspect or criminal for a crime. A manual scan of the video footage requires a considerable amount of manpower and time, a luxury which cannot be afforded when track...
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| Format: | Article |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8421576/ |
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| author | Aftab Khan Sakhi Rehman Muhammad Waleed Ashfaq Khan Umair Khan Tariq Kamal Shehryar Khan Afridi Safdar Nawaz Khan Marwat |
| author_facet | Aftab Khan Sakhi Rehman Muhammad Waleed Ashfaq Khan Umair Khan Tariq Kamal Shehryar Khan Afridi Safdar Nawaz Khan Marwat |
| author_sort | Aftab Khan |
| collection | DOAJ |
| description | Video recorders record the output of each security camera. After an incident, the video footage can be used for evidence by locating a suspect or criminal for a crime. A manual scan of the video footage requires a considerable amount of manpower and time, a luxury which cannot be afforded when tracking down a person of interest (POI). An automated system is proposed in this paper which aims at finding the desired POI through the available volume of video data quickly and accurately. It is visualized to go through all the available videos and detect the POI using facial recognition. Thereafter, it would create a video montage of all the desired frames and incorporate time and location information to produce a path map followed by the POI. The proposed system reduces the human burden, human error and reduces the time taken when searching the POI manually. Validation has been performed on various video data collected by ourselves as well. The results depict that the proposed system is able to correctly identify POI with an accuracy of 86% for video data captured in a constrained environment. Videos captured by a cell phone in an unconstrained environment result in an accuracy of around 80%. Real video tested in our university campus revealed the proposed system is capable of generating tracking information for POI effectively. |
| format | Article |
| id | doaj-art-56c273ba03a44f069bddf23bbf6ea9a7 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-56c273ba03a44f069bddf23bbf6ea9a72025-08-20T01:52:10ZengIEEEIEEE Access2169-35362018-01-016433924340310.1109/ACCESS.2018.28569368421576Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) LocalizationAftab Khan0https://orcid.org/0000-0002-1797-0965Sakhi Rehman1Muhammad Waleed2Ashfaq Khan3Umair Khan4Tariq Kamal5Shehryar Khan Afridi6Safdar Nawaz Khan Marwat7Department of Computer Systems Engineering, University of Engineering and Technology at Peshawar, Peshawar, PakistanDepartment of Computer Systems Engineering, University of Engineering and Technology at Peshawar, Peshawar, PakistanDepartment of Computer Systems Engineering, University of Engineering and Technology at Peshawar, Peshawar, PakistanDepartment of Mechanical Engineering, University of Engineering and Technology at Peshawar, Peshawar, PakistanDepartment of Computer Science, COMSATS Institute of Information Technology Attock, Attock, PakistanDepartment of Computer Systems Engineering, University of Engineering and Technology at Peshawar, Peshawar, PakistanDepartment of Computer Systems Engineering, University of Engineering and Technology at Peshawar, Peshawar, PakistanDepartment of Computer Systems Engineering, University of Engineering and Technology at Peshawar, Peshawar, PakistanVideo recorders record the output of each security camera. After an incident, the video footage can be used for evidence by locating a suspect or criminal for a crime. A manual scan of the video footage requires a considerable amount of manpower and time, a luxury which cannot be afforded when tracking down a person of interest (POI). An automated system is proposed in this paper which aims at finding the desired POI through the available volume of video data quickly and accurately. It is visualized to go through all the available videos and detect the POI using facial recognition. Thereafter, it would create a video montage of all the desired frames and incorporate time and location information to produce a path map followed by the POI. The proposed system reduces the human burden, human error and reduces the time taken when searching the POI manually. Validation has been performed on various video data collected by ourselves as well. The results depict that the proposed system is able to correctly identify POI with an accuracy of 86% for video data captured in a constrained environment. Videos captured by a cell phone in an unconstrained environment result in an accuracy of around 80%. Real video tested in our university campus revealed the proposed system is capable of generating tracking information for POI effectively.https://ieeexplore.ieee.org/document/8421576/Video forensicsfacial recognitionpassive trackingvideo summarizationsurveillancesecurity |
| spellingShingle | Aftab Khan Sakhi Rehman Muhammad Waleed Ashfaq Khan Umair Khan Tariq Kamal Shehryar Khan Afridi Safdar Nawaz Khan Marwat Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization IEEE Access Video forensics facial recognition passive tracking video summarization surveillance security |
| title | Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization |
| title_full | Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization |
| title_fullStr | Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization |
| title_full_unstemmed | Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization |
| title_short | Forensic Video Analysis: Passive Tracking System for Automated Person of Interest (POI) Localization |
| title_sort | forensic video analysis passive tracking system for automated person of interest poi localization |
| topic | Video forensics facial recognition passive tracking video summarization surveillance security |
| url | https://ieeexplore.ieee.org/document/8421576/ |
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