Method for detecting image target in computer vision

The invention discloses a method for detecting an image target in computer vision, which comprises the following steps: 1, setting a screening candidate box threshold value Sc, and setting the confidence coefficient of a candidate box with lower confidence coefficient to be zero; step 2, determining...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: WANG SHUAI, ZHUO ZHENFU, MEI JIADONG, LYU BENYUAN
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator WANG SHUAI
ZHUO ZHENFU
MEI JIADONG
LYU BENYUAN
description The invention discloses a method for detecting an image target in computer vision, which comprises the following steps: 1, setting a screening candidate box threshold value Sc, and setting the confidence coefficient of a candidate box with lower confidence coefficient to be zero; step 2, determining a threshold Nt for screening candidate frames with higher scores, dividing the candidate frames into two parts according to IOU scores, retaining confidence scores of the candidate frames smaller than Nt, and recombining the candidate frames larger than Nt; step 3, dividing a threshold value range in a range of [Nt, 1] into three sections of [Nt, N1), [N1, N2) and [N2, 1], respectively setting different attenuation factors according to a formula (3), inhibiting the confidence coefficient of the candidate frame of which the IOU is greater than Nt, and re-arranging the scores of the inhibited IOU from large to small; and 4, repeating the steps 2 and 3 until all candidate boxes are screened. According to the technica
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN113837254A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN113837254A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN113837254A3</originalsourceid><addsrcrecordid>eNrjZDDxTS3JyE9RSMsvUkhJLUlNLsnMS1fIzE1MT1UoSSxKTy1RyMxTSM7PLSgtSS1SKMsszszP42FgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hobGFsbmRqYmjsbEqAEAKHksxg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method for detecting image target in computer vision</title><source>esp@cenet</source><creator>WANG SHUAI ; ZHUO ZHENFU ; MEI JIADONG ; LYU BENYUAN</creator><creatorcontrib>WANG SHUAI ; ZHUO ZHENFU ; MEI JIADONG ; LYU BENYUAN</creatorcontrib><description>The invention discloses a method for detecting an image target in computer vision, which comprises the following steps: 1, setting a screening candidate box threshold value Sc, and setting the confidence coefficient of a candidate box with lower confidence coefficient to be zero; step 2, determining a threshold Nt for screening candidate frames with higher scores, dividing the candidate frames into two parts according to IOU scores, retaining confidence scores of the candidate frames smaller than Nt, and recombining the candidate frames larger than Nt; step 3, dividing a threshold value range in a range of [Nt, 1] into three sections of [Nt, N1), [N1, N2) and [N2, 1], respectively setting different attenuation factors according to a formula (3), inhibiting the confidence coefficient of the candidate frame of which the IOU is greater than Nt, and re-arranging the scores of the inhibited IOU from large to small; and 4, repeating the steps 2 and 3 until all candidate boxes are screened. According to the technica</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>2021</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&amp;date=20211224&amp;DB=EPODOC&amp;CC=CN&amp;NR=113837254A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20211224&amp;DB=EPODOC&amp;CC=CN&amp;NR=113837254A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG SHUAI</creatorcontrib><creatorcontrib>ZHUO ZHENFU</creatorcontrib><creatorcontrib>MEI JIADONG</creatorcontrib><creatorcontrib>LYU BENYUAN</creatorcontrib><title>Method for detecting image target in computer vision</title><description>The invention discloses a method for detecting an image target in computer vision, which comprises the following steps: 1, setting a screening candidate box threshold value Sc, and setting the confidence coefficient of a candidate box with lower confidence coefficient to be zero; step 2, determining a threshold Nt for screening candidate frames with higher scores, dividing the candidate frames into two parts according to IOU scores, retaining confidence scores of the candidate frames smaller than Nt, and recombining the candidate frames larger than Nt; step 3, dividing a threshold value range in a range of [Nt, 1] into three sections of [Nt, N1), [N1, N2) and [N2, 1], respectively setting different attenuation factors according to a formula (3), inhibiting the confidence coefficient of the candidate frame of which the IOU is greater than Nt, and re-arranging the scores of the inhibited IOU from large to small; and 4, repeating the steps 2 and 3 until all candidate boxes are screened. According to the technica</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>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDDxTS3JyE9RSMsvUkhJLUlNLsnMS1fIzE1MT1UoSSxKTy1RyMxTSM7PLSgtSS1SKMsszszP42FgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hobGFsbmRqYmjsbEqAEAKHksxg</recordid><startdate>20211224</startdate><enddate>20211224</enddate><creator>WANG SHUAI</creator><creator>ZHUO ZHENFU</creator><creator>MEI JIADONG</creator><creator>LYU BENYUAN</creator><scope>EVB</scope></search><sort><creationdate>20211224</creationdate><title>Method for detecting image target in computer vision</title><author>WANG SHUAI ; ZHUO ZHENFU ; MEI JIADONG ; LYU BENYUAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113837254A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</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>WANG SHUAI</creatorcontrib><creatorcontrib>ZHUO ZHENFU</creatorcontrib><creatorcontrib>MEI JIADONG</creatorcontrib><creatorcontrib>LYU BENYUAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG SHUAI</au><au>ZHUO ZHENFU</au><au>MEI JIADONG</au><au>LYU BENYUAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for detecting image target in computer vision</title><date>2021-12-24</date><risdate>2021</risdate><abstract>The invention discloses a method for detecting an image target in computer vision, which comprises the following steps: 1, setting a screening candidate box threshold value Sc, and setting the confidence coefficient of a candidate box with lower confidence coefficient to be zero; step 2, determining a threshold Nt for screening candidate frames with higher scores, dividing the candidate frames into two parts according to IOU scores, retaining confidence scores of the candidate frames smaller than Nt, and recombining the candidate frames larger than Nt; step 3, dividing a threshold value range in a range of [Nt, 1] into three sections of [Nt, N1), [N1, N2) and [N2, 1], respectively setting different attenuation factors according to a formula (3), inhibiting the confidence coefficient of the candidate frame of which the IOU is greater than Nt, and re-arranging the scores of the inhibited IOU from large to small; and 4, repeating the steps 2 and 3 until all candidate boxes are screened. According to the technica</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN113837254A
source esp@cenet
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 Method for detecting image target in computer vision
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T09%3A32%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=WANG%20SHUAI&rft.date=2021-12-24&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN113837254A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true