A Survey on Infrared Image and Video Sets
In this survey, we compile a list of publicly available infrared image and video sets for artificial intelligence and computer vision researchers. We mainly focus on IR image and video sets which are collected and labelled for computer vision applications such as object detection, object segmentatio...
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| creator | Danaci, Kevser Irem Akagunduz, Erdem |
| description | In this survey, we compile a list of publicly available infrared image and
video sets for artificial intelligence and computer vision researchers. We
mainly focus on IR image and video sets which are collected and labelled for
computer vision applications such as object detection, object segmentation,
classification, and motion detection. We categorize 92 different publicly
available or private sets according to their sensor types, image resolution,
and scale. We describe each and every set in detail regarding their collection
purpose, operation environment, optical system properties, and area of
application. We also cover a general overview of fundamental concepts that
relate to IR imagery, such as IR radiation, IR detectors, IR optics and
application fields. We analyse the statistical significance of the entire
corpus from different perspectives. We believe that this survey will be a
guideline for computer vision and artificial intelligence researchers that are
interested in working with the spectra beyond the visible domain. |
| doi_str_mv | 10.48550/arxiv.2203.08581 |
| format | Article |
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video sets for artificial intelligence and computer vision researchers. We
mainly focus on IR image and video sets which are collected and labelled for
computer vision applications such as object detection, object segmentation,
classification, and motion detection. We categorize 92 different publicly
available or private sets according to their sensor types, image resolution,
and scale. We describe each and every set in detail regarding their collection
purpose, operation environment, optical system properties, and area of
application. We also cover a general overview of fundamental concepts that
relate to IR imagery, such as IR radiation, IR detectors, IR optics and
application fields. We analyse the statistical significance of the entire
corpus from different perspectives. We believe that this survey will be a
guideline for computer vision and artificial intelligence researchers that are
interested in working with the spectra beyond the visible domain.</description><identifier>DOI: 10.48550/arxiv.2203.08581</identifier><language>eng</language><subject>Computer Science - Artificial Intelligence ; Computer Science - Computer Vision and Pattern Recognition</subject><creationdate>2022-03</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2203.08581$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2203.08581$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Danaci, Kevser Irem</creatorcontrib><creatorcontrib>Akagunduz, Erdem</creatorcontrib><title>A Survey on Infrared Image and Video Sets</title><description>In this survey, we compile a list of publicly available infrared image and
video sets for artificial intelligence and computer vision researchers. We
mainly focus on IR image and video sets which are collected and labelled for
computer vision applications such as object detection, object segmentation,
classification, and motion detection. We categorize 92 different publicly
available or private sets according to their sensor types, image resolution,
and scale. We describe each and every set in detail regarding their collection
purpose, operation environment, optical system properties, and area of
application. We also cover a general overview of fundamental concepts that
relate to IR imagery, such as IR radiation, IR detectors, IR optics and
application fields. We analyse the statistical significance of the entire
corpus from different perspectives. We believe that this survey will be a
guideline for computer vision and artificial intelligence researchers that are
interested in working with the spectra beyond the visible domain.</description><subject>Computer Science - Artificial Intelligence</subject><subject>Computer Science - Computer Vision and Pattern Recognition</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzrsKwjAUgOEsDqI-gJNZHVqTNKc9HUW8FASHims5bU6lYKvEC_r24mX6t59PiLFWoUUANSP_bB6hMSoKFQLqvpjOZX73D37Jcyezrvbk2cmspSNL6pw8NI7PMufbdSh6NZ2uPPp3IPar5X6xCba7dbaYbwOKEx2kNXKqY7QlWOu0AkpMDSkZg0laQWRiNAqAVWyVrRxoAkZT2hKtBnYcDcTkt_1ai4tvWvKv4mMuvuboDRjoOPg</recordid><startdate>20220316</startdate><enddate>20220316</enddate><creator>Danaci, Kevser Irem</creator><creator>Akagunduz, Erdem</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20220316</creationdate><title>A Survey on Infrared Image and Video Sets</title><author>Danaci, Kevser Irem ; Akagunduz, Erdem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a671-9f8e91684b544d105a72f59a22879c532682055e06404cd51a5e82b4b8415ede3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computer Science - Artificial Intelligence</topic><topic>Computer Science - Computer Vision and Pattern Recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>Danaci, Kevser Irem</creatorcontrib><creatorcontrib>Akagunduz, Erdem</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Danaci, Kevser Irem</au><au>Akagunduz, Erdem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Survey on Infrared Image and Video Sets</atitle><date>2022-03-16</date><risdate>2022</risdate><abstract>In this survey, we compile a list of publicly available infrared image and
video sets for artificial intelligence and computer vision researchers. We
mainly focus on IR image and video sets which are collected and labelled for
computer vision applications such as object detection, object segmentation,
classification, and motion detection. We categorize 92 different publicly
available or private sets according to their sensor types, image resolution,
and scale. We describe each and every set in detail regarding their collection
purpose, operation environment, optical system properties, and area of
application. We also cover a general overview of fundamental concepts that
relate to IR imagery, such as IR radiation, IR detectors, IR optics and
application fields. We analyse the statistical significance of the entire
corpus from different perspectives. We believe that this survey will be a
guideline for computer vision and artificial intelligence researchers that are
interested in working with the spectra beyond the visible domain.</abstract><doi>10.48550/arxiv.2203.08581</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition |
| title | A Survey on Infrared Image and Video Sets |
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