WORK VEHICLE DETECTION AND TRACKING METHOD AND SYSTEM
A work vehicle detection and tracking method and system. An image enhancement method is used for performing enhancement processing on an image of a complex mine environment, multiple types of work vehicle detection results are obtained by means of a work vehicle detection model based on a deep-learn...
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng ; fre |
| 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 | YUE, Wei LIN, Jun DING, Chi XIONG, Qunfang KANG, Gaoqiang YOU, Jun LIU, Shiwang YUAN, Xiwen XU, Yanghan YUAN, Hao WANG, Quandong |
| description | A work vehicle detection and tracking method and system. An image enhancement method is used for performing enhancement processing on an image of a complex mine environment, multiple types of work vehicle detection results are obtained by means of a work vehicle detection model based on a deep-learning target detection frame, a work vehicle tracking model uses the work vehicle tracking method based on cascade matching of motion information and appearance features, and multi-type target tracking is performed according to the work vehicle detection results.
Procédé et système de détection et de suivi de véhicule de travail. Un procédé d'amélioration d'image est utilisé pour réaliser un traitement d'amélioration sur une image d'un environnement minier complexe, de multiples types de résultats de détection de véhicule de travail sont obtenus au moyen d'un modèle de détection de véhicule de travail sur la base d'un cadre de détection de cible d'apprentissage profond, un modèle de suivi de véhicule de travail utili |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_WO2023065395A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>WO2023065395A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_WO2023065395A13</originalsourceid><addsrcrecordid>eNrjZDAN9w_yVghz9fB09nFVcHENcXUO8fT3U3D0c1EICXJ09vb0c1fwdQ3x8HcBiwVHBoe4-vIwsKYl5hSn8kJpbgZlN9cQZw_d1IL8-NTigsTk1LzUkvhwfyMDI2MDM1NjS1NHQ2PiVAEAe4gocw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>WORK VEHICLE DETECTION AND TRACKING METHOD AND SYSTEM</title><source>esp@cenet</source><creator>YUE, Wei ; LIN, Jun ; DING, Chi ; XIONG, Qunfang ; KANG, Gaoqiang ; YOU, Jun ; LIU, Shiwang ; YUAN, Xiwen ; XU, Yanghan ; YUAN, Hao ; WANG, Quandong</creator><creatorcontrib>YUE, Wei ; LIN, Jun ; DING, Chi ; XIONG, Qunfang ; KANG, Gaoqiang ; YOU, Jun ; LIU, Shiwang ; YUAN, Xiwen ; XU, Yanghan ; YUAN, Hao ; WANG, Quandong</creatorcontrib><description>A work vehicle detection and tracking method and system. An image enhancement method is used for performing enhancement processing on an image of a complex mine environment, multiple types of work vehicle detection results are obtained by means of a work vehicle detection model based on a deep-learning target detection frame, a work vehicle tracking model uses the work vehicle tracking method based on cascade matching of motion information and appearance features, and multi-type target tracking is performed according to the work vehicle detection results.
Procédé et système de détection et de suivi de véhicule de travail. Un procédé d'amélioration d'image est utilisé pour réaliser un traitement d'amélioration sur une image d'un environnement minier complexe, de multiples types de résultats de détection de véhicule de travail sont obtenus au moyen d'un modèle de détection de véhicule de travail sur la base d'un cadre de détection de cible d'apprentissage profond, un modèle de suivi de véhicule de travail utili</description><language>chi ; eng ; fre</language><creationdate>2023</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=20230427&DB=EPODOC&CC=WO&NR=2023065395A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230427&DB=EPODOC&CC=WO&NR=2023065395A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YUE, Wei</creatorcontrib><creatorcontrib>LIN, Jun</creatorcontrib><creatorcontrib>DING, Chi</creatorcontrib><creatorcontrib>XIONG, Qunfang</creatorcontrib><creatorcontrib>KANG, Gaoqiang</creatorcontrib><creatorcontrib>YOU, Jun</creatorcontrib><creatorcontrib>LIU, Shiwang</creatorcontrib><creatorcontrib>YUAN, Xiwen</creatorcontrib><creatorcontrib>XU, Yanghan</creatorcontrib><creatorcontrib>YUAN, Hao</creatorcontrib><creatorcontrib>WANG, Quandong</creatorcontrib><title>WORK VEHICLE DETECTION AND TRACKING METHOD AND SYSTEM</title><description>A work vehicle detection and tracking method and system. An image enhancement method is used for performing enhancement processing on an image of a complex mine environment, multiple types of work vehicle detection results are obtained by means of a work vehicle detection model based on a deep-learning target detection frame, a work vehicle tracking model uses the work vehicle tracking method based on cascade matching of motion information and appearance features, and multi-type target tracking is performed according to the work vehicle detection results.
Procédé et système de détection et de suivi de véhicule de travail. Un procédé d'amélioration d'image est utilisé pour réaliser un traitement d'amélioration sur une image d'un environnement minier complexe, de multiples types de résultats de détection de véhicule de travail sont obtenus au moyen d'un modèle de détection de véhicule de travail sur la base d'un cadre de détection de cible d'apprentissage profond, un modèle de suivi de véhicule de travail utili</description><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDAN9w_yVghz9fB09nFVcHENcXUO8fT3U3D0c1EICXJ09vb0c1fwdQ3x8HcBiwVHBoe4-vIwsKYl5hSn8kJpbgZlN9cQZw_d1IL8-NTigsTk1LzUkvhwfyMDI2MDM1NjS1NHQ2PiVAEAe4gocw</recordid><startdate>20230427</startdate><enddate>20230427</enddate><creator>YUE, Wei</creator><creator>LIN, Jun</creator><creator>DING, Chi</creator><creator>XIONG, Qunfang</creator><creator>KANG, Gaoqiang</creator><creator>YOU, Jun</creator><creator>LIU, Shiwang</creator><creator>YUAN, Xiwen</creator><creator>XU, Yanghan</creator><creator>YUAN, Hao</creator><creator>WANG, Quandong</creator><scope>EVB</scope></search><sort><creationdate>20230427</creationdate><title>WORK VEHICLE DETECTION AND TRACKING METHOD AND SYSTEM</title><author>YUE, Wei ; LIN, Jun ; DING, Chi ; XIONG, Qunfang ; KANG, Gaoqiang ; YOU, Jun ; LIU, Shiwang ; YUAN, Xiwen ; XU, Yanghan ; YUAN, Hao ; WANG, Quandong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_WO2023065395A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng ; fre</language><creationdate>2023</creationdate><toplevel>online_resources</toplevel><creatorcontrib>YUE, Wei</creatorcontrib><creatorcontrib>LIN, Jun</creatorcontrib><creatorcontrib>DING, Chi</creatorcontrib><creatorcontrib>XIONG, Qunfang</creatorcontrib><creatorcontrib>KANG, Gaoqiang</creatorcontrib><creatorcontrib>YOU, Jun</creatorcontrib><creatorcontrib>LIU, Shiwang</creatorcontrib><creatorcontrib>YUAN, Xiwen</creatorcontrib><creatorcontrib>XU, Yanghan</creatorcontrib><creatorcontrib>YUAN, Hao</creatorcontrib><creatorcontrib>WANG, Quandong</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YUE, Wei</au><au>LIN, Jun</au><au>DING, Chi</au><au>XIONG, Qunfang</au><au>KANG, Gaoqiang</au><au>YOU, Jun</au><au>LIU, Shiwang</au><au>YUAN, Xiwen</au><au>XU, Yanghan</au><au>YUAN, Hao</au><au>WANG, Quandong</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>WORK VEHICLE DETECTION AND TRACKING METHOD AND SYSTEM</title><date>2023-04-27</date><risdate>2023</risdate><abstract>A work vehicle detection and tracking method and system. An image enhancement method is used for performing enhancement processing on an image of a complex mine environment, multiple types of work vehicle detection results are obtained by means of a work vehicle detection model based on a deep-learning target detection frame, a work vehicle tracking model uses the work vehicle tracking method based on cascade matching of motion information and appearance features, and multi-type target tracking is performed according to the work vehicle detection results.
Procédé et système de détection et de suivi de véhicule de travail. Un procédé d'amélioration d'image est utilisé pour réaliser un traitement d'amélioration sur une image d'un environnement minier complexe, de multiples types de résultats de détection de véhicule de travail sont obtenus au moyen d'un modèle de détection de véhicule de travail sur la base d'un cadre de détection de cible d'apprentissage profond, un modèle de suivi de véhicule de travail utili</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng ; fre |
| recordid | cdi_epo_espacenet_WO2023065395A1 |
| source | esp@cenet |
| title | WORK VEHICLE DETECTION AND TRACKING METHOD AND SYSTEM |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T08%3A35%3A37IST&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=YUE,%20Wei&rft.date=2023-04-27&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EWO2023065395A1%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 |