Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery
Detection and tracking of targets in forward looking infrared (FLIR) imagery are challenging tasks. IR sensors often provide low signal-to-noise ratio and heavy background cluttering images. Non-stationary cameras can introduce further challenges, because detection and tracking might make it necessa...
-д хадгалсан:
| Үндсэн зохиолчид: | , |
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| Формат: | Online |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Нөхцлүүд: | |
| Онлайн хандалт: | 17503 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869520003995271168 |
|---|---|
| author | Andrea Sanna (Ed.) Fabrizio Lamberti (Ed.) |
| author_browse | Andrea Sanna (Ed.) Fabrizio Lamberti (Ed.) |
| author_facet | Andrea Sanna (Ed.) Fabrizio Lamberti (Ed.) |
| author_sort | Andrea Sanna (Ed.) |
| collection | Directory of Open Access Books |
| description | Detection and tracking of targets in forward looking infrared (FLIR) imagery are challenging tasks. IR sensors often provide low signal-to-noise ratio and heavy background cluttering images. Non-stationary cameras can introduce further challenges, because detection and tracking might make it necessary to properly deal with sensor ego-motion through suitable estimation and compensation techniques. Moreover, further issues are posed by imagery with multiple and possibly moving target and non-target objects, which can blend into the background, change their signature, size, shape, and even overlap during their motion. Finally, specific applications could introduce cumbersome real-time constraints, thus requiring tracking techniques with a reduced computational footprint. The objective of this Special Issue is to invite high state-of-the-art research contributions, tutorials, and position papers that address the broad challenges faced in analysis and processing of FLIR imagery. Original papers describing completed and unpublished work that are not currently under review by any other journal/magazine/conference/special issue are solicited. |
| format | Online |
| id | doab-20.500.12854ir-44859 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-448592022-01-31T09:38:39Z Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery Andrea Sanna (Ed.) Fabrizio Lamberti (Ed.) template-matching algorithms applications and case studies autonomous vehicles environmental monitoring real-time target tracking in military scenarios tracking and detection of pedestrians ego-motion compensation and background removal techniques deformable part models automatic detection recognition and identification of targets video surveillance Detection and tracking of targets in forward looking infrared (FLIR) imagery are challenging tasks. IR sensors often provide low signal-to-noise ratio and heavy background cluttering images. Non-stationary cameras can introduce further challenges, because detection and tracking might make it necessary to properly deal with sensor ego-motion through suitable estimation and compensation techniques. Moreover, further issues are posed by imagery with multiple and possibly moving target and non-target objects, which can blend into the background, change their signature, size, shape, and even overlap during their motion. Finally, specific applications could introduce cumbersome real-time constraints, thus requiring tracking techniques with a reduced computational footprint. The objective of this Special Issue is to invite high state-of-the-art research contributions, tutorials, and position papers that address the broad challenges faced in analysis and processing of FLIR imagery. Original papers describing completed and unpublished work that are not currently under review by any other journal/magazine/conference/special issue are solicited. 2021-02-11T11:14:31Z 2021-02-11T11:14:31Z 2015-10-22 07:34:37 2015 book 17503 9783038420538 9783038420521 https://directory.doabooks.org/handle/20.500.12854/44859 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International http://books.mdpi.com/pdfview/book/109 http://books.mdpi.com/pdfview/book/109 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03842-053-8 10.3390/books978-3-03842-053-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038420538 9783038420521 XIV, 228 open access |
| spellingShingle | template-matching algorithms applications and case studies autonomous vehicles environmental monitoring real-time target tracking in military scenarios tracking and detection of pedestrians ego-motion compensation and background removal techniques deformable part models automatic detection recognition and identification of targets video surveillance Andrea Sanna (Ed.) Fabrizio Lamberti (Ed.) Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery |
| title | Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery |
| title_full | Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery |
| title_fullStr | Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery |
| title_full_unstemmed | Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery |
| title_short | Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery |
| title_sort | detection and tracking of targets in forward looking infrared flir imagery |
| topic | template-matching algorithms applications and case studies autonomous vehicles environmental monitoring real-time target tracking in military scenarios tracking and detection of pedestrians ego-motion compensation and background removal techniques deformable part models automatic detection recognition and identification of targets video surveillance |
| topic_facet | template-matching algorithms applications and case studies autonomous vehicles environmental monitoring real-time target tracking in military scenarios tracking and detection of pedestrians ego-motion compensation and background removal techniques deformable part models automatic detection recognition and identification of targets video surveillance |
| url | 17503 |
| work_keys_str_mv | AT andreasannaed detectionandtrackingoftargetsinforwardlookinginfraredflirimagery AT fabriziolambertied detectionandtrackingoftargetsinforwardlookinginfraredflirimagery |