DEPTH-BASED OBJECT RE-IDENTIFICATION
An object re-identifier. For each of a plurality of frames of a video, a quality of the frame is assessed and a confidence that a previously-recognized object is present in the frame is determined. The determined confidence for the frame is weighted based on the assessed quality of the frame such th...
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| creator | CHEN, Yinpeng KARIANAKIS, Nikolaos LIU, Zicheng |
| description | An object re-identifier. For each of a plurality of frames of a video, a quality of the frame is assessed and a confidence that a previously-recognized object is present in the frame is determined. The determined confidence for the frame is weighted based on the assessed quality of the frame such that frames with higher relative quality are weighted more heavily than frames with lower relative quality. An overall confidence that the previously-recognized object is present in the video is assessed based on the weighted determined confidences. |
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For each of a plurality of frames of a video, a quality of the frame is assessed and a confidence that a previously-recognized object is present in the frame is determined. The determined confidence for the frame is weighted based on the assessed quality of the frame such that frames with higher relative quality are weighted more heavily than frames with lower relative quality. An overall confidence that the previously-recognized object is present in the video is assessed based on the weighted determined confidences.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220602&DB=EPODOC&CC=US&NR=2022172450A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220602&DB=EPODOC&CC=US&NR=2022172450A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN, Yinpeng</creatorcontrib><creatorcontrib>KARIANAKIS, Nikolaos</creatorcontrib><creatorcontrib>LIU, Zicheng</creatorcontrib><title>DEPTH-BASED OBJECT RE-IDENTIFICATION</title><description>An object re-identifier. 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An overall confidence that the previously-recognized object is present in the video is assessed based on the weighted determined confidences.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFBxcQ0I8dB1cgx2dVHwd_JydQ5RCHLV9XRx9QvxdPN0dgzx9PfjYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkZGhuZGJqYGjobGxKkCAPMII7c</recordid><startdate>20220602</startdate><enddate>20220602</enddate><creator>CHEN, Yinpeng</creator><creator>KARIANAKIS, Nikolaos</creator><creator>LIU, Zicheng</creator><scope>EVB</scope></search><sort><creationdate>20220602</creationdate><title>DEPTH-BASED OBJECT RE-IDENTIFICATION</title><author>CHEN, Yinpeng ; KARIANAKIS, Nikolaos ; LIU, Zicheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2022172450A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN, Yinpeng</creatorcontrib><creatorcontrib>KARIANAKIS, Nikolaos</creatorcontrib><creatorcontrib>LIU, Zicheng</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN, Yinpeng</au><au>KARIANAKIS, Nikolaos</au><au>LIU, Zicheng</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>DEPTH-BASED OBJECT RE-IDENTIFICATION</title><date>2022-06-02</date><risdate>2022</risdate><abstract>An object re-identifier. For each of a plurality of frames of a video, a quality of the frame is assessed and a confidence that a previously-recognized object is present in the frame is determined. The determined confidence for the frame is weighted based on the assessed quality of the frame such that frames with higher relative quality are weighted more heavily than frames with lower relative quality. An overall confidence that the previously-recognized object is present in the video is assessed based on the weighted determined confidences.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
| title | DEPTH-BASED OBJECT RE-IDENTIFICATION |
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