Video target tracking method
The invention provides a video target tracking method, and belongs to the field of computer vision. The method comprises the following steps: forming a substrate; simultaneously inputting the target image and the search image into a hierarchical correlation twin network for feature extraction to obt...
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| creator | MENG YU XU YAN DENG ZAIXU SHEN PIPI JIAO ZHIBAO |
| description | The invention provides a video target tracking method, and belongs to the field of computer vision. The method comprises the following steps: forming a substrate; simultaneously inputting the target image and the search image into a hierarchical correlation twin network for feature extraction to obtain convolution features extracted by different convolution layers, performing correlation measurement on the convolution features of the target image and the search image extracted by the same convolution layer, and generating hierarchical correlation through hierarchical splicing of the correlation of each layer; taking the position of the search image with the highest tracking response in the hierarchical correlation as the central position of a tracking target in the search image; and determining the position of the tracking target in the search image according to the central position of the tracking target in the search image and the independent scale factor. According to the invention,any target can be accura |
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The method comprises the following steps: forming a substrate; simultaneously inputting the target image and the search image into a hierarchical correlation twin network for feature extraction to obtain convolution features extracted by different convolution layers, performing correlation measurement on the convolution features of the target image and the search image extracted by the same convolution layer, and generating hierarchical correlation through hierarchical splicing of the correlation of each layer; taking the position of the search image with the highest tracking response in the hierarchical correlation as the central position of a tracking target in the search image; and determining the position of the tracking target in the search image according to the central position of the tracking target in the search image and the independent scale factor. According to the invention,any target can be accura</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2020</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=20201106&DB=EPODOC&CC=CN&NR=111899283A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201106&DB=EPODOC&CC=CN&NR=111899283A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MENG YU</creatorcontrib><creatorcontrib>XU YAN</creatorcontrib><creatorcontrib>DENG ZAIXU</creatorcontrib><creatorcontrib>SHEN PIPI</creatorcontrib><creatorcontrib>JIAO ZHIBAO</creatorcontrib><title>Video target tracking method</title><description>The invention provides a video target tracking method, and belongs to the field of computer vision. 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According to the invention,any target can be accura</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZJAJy0xJzVcoSSxKTy1RKClKTM7OzEtXyE0tychP4WFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hoaGFpaWRhbGjsbEqAEAnOcjyQ</recordid><startdate>20201106</startdate><enddate>20201106</enddate><creator>MENG YU</creator><creator>XU YAN</creator><creator>DENG ZAIXU</creator><creator>SHEN PIPI</creator><creator>JIAO ZHIBAO</creator><scope>EVB</scope></search><sort><creationdate>20201106</creationdate><title>Video target tracking method</title><author>MENG YU ; XU YAN ; DENG ZAIXU ; SHEN PIPI ; JIAO ZHIBAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111899283A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>MENG YU</creatorcontrib><creatorcontrib>XU YAN</creatorcontrib><creatorcontrib>DENG ZAIXU</creatorcontrib><creatorcontrib>SHEN PIPI</creatorcontrib><creatorcontrib>JIAO ZHIBAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MENG YU</au><au>XU YAN</au><au>DENG ZAIXU</au><au>SHEN PIPI</au><au>JIAO ZHIBAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Video target tracking method</title><date>2020-11-06</date><risdate>2020</risdate><abstract>The invention provides a video target tracking method, and belongs to the field of computer vision. The method comprises the following steps: forming a substrate; simultaneously inputting the target image and the search image into a hierarchical correlation twin network for feature extraction to obtain convolution features extracted by different convolution layers, performing correlation measurement on the convolution features of the target image and the search image extracted by the same convolution layer, and generating hierarchical correlation through hierarchical splicing of the correlation of each layer; taking the position of the search image with the highest tracking response in the hierarchical correlation as the central position of a tracking target in the search image; and determining the position of the tracking target in the search image according to the central position of the tracking target in the search image and the independent scale factor. According to the invention,any target can be accura</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Video target tracking method |
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