Train positioning method based on catenary strut number image recognition
The invention discloses a train positioning method based on catenary strut number image recognition. The method comprises the following steps: S1, acquiring a high-definition video of catenary equipment in real time by using a catenary suspension state detection device; S2, key frames in the inspect...
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| creator | LIU ZHESHANHENG ZHAN TAONING TANG MAOSEN ZHOU RONGBIN KE QIANXIA HE SHENGZHONG |
| description | The invention discloses a train positioning method based on catenary strut number image recognition. The method comprises the following steps: S1, acquiring a high-definition video of catenary equipment in real time by using a catenary suspension state detection device; S2, key frames in the inspection video are extracted, and a high-definition image containing all complete overhead line system supporting columns along the way is obtained; S3, preprocessing the high-definition image, and determining an overhead line system strut area; S4, adopting an HOG feature description method and SVM classification to locate a rectangular area of the pole number of the overhead line system strut in the image, and carrying out binarization processing on the image after gray scale transformation; S5, onthe basis of a horizontal projection method, cutting the binarized rectangular area of the strut number t, and segmenting characters; S6, normalizing the character material, and zooming the originalimage; S7, directly carryi |
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The method comprises the following steps: S1, acquiring a high-definition video of catenary equipment in real time by using a catenary suspension state detection device; S2, key frames in the inspection video are extracted, and a high-definition image containing all complete overhead line system supporting columns along the way is obtained; S3, preprocessing the high-definition image, and determining an overhead line system strut area; S4, adopting an HOG feature description method and SVM classification to locate a rectangular area of the pole number of the overhead line system strut in the image, and carrying out binarization processing on the image after gray scale transformation; S5, onthe basis of a horizontal projection method, cutting the binarized rectangular area of the strut number t, and segmenting characters; S6, normalizing the character material, and zooming the originalimage; S7, directly carryi</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ENSURING THE SAFETY OF RAILWAY TRAFFIC ; GUIDING RAILWAY TRAFFIC ; HANDLING RECORD CARRIERS ; PERFORMING OPERATIONS ; PHYSICS ; PRESENTATION OF DATA ; RAILWAYS ; RECOGNITION OF DATA ; RECORD CARRIERS ; TRANSPORTING</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=20201201&DB=EPODOC&CC=CN&NR=112009529A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201201&DB=EPODOC&CC=CN&NR=112009529A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIU ZHESHANHENG</creatorcontrib><creatorcontrib>ZHAN TAONING</creatorcontrib><creatorcontrib>TANG MAOSEN</creatorcontrib><creatorcontrib>ZHOU RONGBIN</creatorcontrib><creatorcontrib>KE QIANXIA</creatorcontrib><creatorcontrib>HE SHENGZHONG</creatorcontrib><title>Train positioning method based on catenary strut number image recognition</title><description>The invention discloses a train positioning method based on catenary strut number image recognition. The method comprises the following steps: S1, acquiring a high-definition video of catenary equipment in real time by using a catenary suspension state detection device; S2, key frames in the inspection video are extracted, and a high-definition image containing all complete overhead line system supporting columns along the way is obtained; S3, preprocessing the high-definition image, and determining an overhead line system strut area; S4, adopting an HOG feature description method and SVM classification to locate a rectangular area of the pole number of the overhead line system strut in the image, and carrying out binarization processing on the image after gray scale transformation; S5, onthe basis of a horizontal projection method, cutting the binarized rectangular area of the strut number t, and segmenting characters; S6, normalizing the character material, and zooming the originalimage; S7, directly carryi</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ENSURING THE SAFETY OF RAILWAY TRAFFIC</subject><subject>GUIDING RAILWAY TRAFFIC</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PERFORMING OPERATIONS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RAILWAYS</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>TRANSPORTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyzEOwjAMQNEsDAi4gzkAUlvE0BFVIFiYuldualJLxI4Sd-D2SIgDMP3l_bW79xlZIGlhYxWWAJFs1glGLDSBCng0EsxvKJYXA1niSBk4YiDI5DXId9261RNfhXa_btz-eum724GSDlQSehKyoXvUdVNV7alpz8d_zAcYGTUe</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>LIU ZHESHANHENG</creator><creator>ZHAN TAONING</creator><creator>TANG MAOSEN</creator><creator>ZHOU RONGBIN</creator><creator>KE QIANXIA</creator><creator>HE SHENGZHONG</creator><scope>EVB</scope></search><sort><creationdate>20201201</creationdate><title>Train positioning method based on catenary strut number image recognition</title><author>LIU ZHESHANHENG ; ZHAN TAONING ; TANG MAOSEN ; ZHOU RONGBIN ; KE QIANXIA ; HE SHENGZHONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112009529A3</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>ENSURING THE SAFETY OF RAILWAY TRAFFIC</topic><topic>GUIDING RAILWAY TRAFFIC</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PERFORMING OPERATIONS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RAILWAYS</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>TRANSPORTING</topic><toplevel>online_resources</toplevel><creatorcontrib>LIU ZHESHANHENG</creatorcontrib><creatorcontrib>ZHAN TAONING</creatorcontrib><creatorcontrib>TANG MAOSEN</creatorcontrib><creatorcontrib>ZHOU RONGBIN</creatorcontrib><creatorcontrib>KE QIANXIA</creatorcontrib><creatorcontrib>HE SHENGZHONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIU ZHESHANHENG</au><au>ZHAN TAONING</au><au>TANG MAOSEN</au><au>ZHOU RONGBIN</au><au>KE QIANXIA</au><au>HE SHENGZHONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Train positioning method based on catenary strut number image recognition</title><date>2020-12-01</date><risdate>2020</risdate><abstract>The invention discloses a train positioning method based on catenary strut number image recognition. 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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ENSURING THE SAFETY OF RAILWAY TRAFFIC GUIDING RAILWAY TRAFFIC HANDLING RECORD CARRIERS PERFORMING OPERATIONS PHYSICS PRESENTATION OF DATA RAILWAYS RECOGNITION OF DATA RECORD CARRIERS TRANSPORTING |
| title | Train positioning method based on catenary strut number image recognition |
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