Offshore flow detection method based on binocular camera
The invention discloses an offshore flow detection method based on a binocular camera, and belongs to the technical field of computer vision and security assurance, and the method comprises the following steps: firstly, training a convolutional neural network algorithm for recognizing an offshore fl...
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| creator | WANG SHENGLI FU QINGJUN LI XIAOWAN WANG SIYOU |
| description | The invention discloses an offshore flow detection method based on a binocular camera, and belongs to the technical field of computer vision and security assurance, and the method comprises the following steps: firstly, training a convolutional neural network algorithm for recognizing an offshore flow; secondly, in the actual detection process, recognizing, by the trained convolutional neural network, whether offshore flow exists in sea wave images collected by a binocular camera or not; and finally, positioning the identified offshore flow. According to the method, the three-dimensional information of the offshore flow can be obtained based on binocular stereoscopic vision, accurate offshore flow position information can be obtained in time, the method is simple and high in operability,related workers can mark the sand beach position based on the three-dimensional information of the offshore flow to remind tourists, and drowning accidents caused by the offshore flow are reduced.
本发明公开了一种基于双目相机的离岸流检测方法，属于计算机视 |
| format | Patent |
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本发明公开了一种基于双目相机的离岸流检测方法，属于计算机视</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>eNrjZLDwT0srzsgvSlVIy8kvV0hJLUlNLsnMz1PITS3JyE9RSEosTk1RAPKTMvPyk0tzEosUkhNzU4sSeRhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoaGBmbmpiYmlozExagAE1S5B</recordid><startdate>20200110</startdate><enddate>20200110</enddate><creator>WANG SHENGLI</creator><creator>FU QINGJUN</creator><creator>LI XIAOWAN</creator><creator>WANG SIYOU</creator><scope>EVB</scope></search><sort><creationdate>20200110</creationdate><title>Offshore flow detection method based on binocular camera</title><author>WANG SHENGLI ; FU QINGJUN ; LI XIAOWAN ; WANG SIYOU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN110675449A3</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>WANG SHENGLI</creatorcontrib><creatorcontrib>FU QINGJUN</creatorcontrib><creatorcontrib>LI XIAOWAN</creatorcontrib><creatorcontrib>WANG SIYOU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG SHENGLI</au><au>FU QINGJUN</au><au>LI XIAOWAN</au><au>WANG SIYOU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Offshore flow detection method based on binocular camera</title><date>2020-01-10</date><risdate>2020</risdate><abstract>The invention discloses an offshore flow detection method based on a binocular camera, and belongs to the technical field of computer vision and security assurance, and the method comprises the following steps: firstly, training a convolutional neural network algorithm for recognizing an offshore flow; secondly, in the actual detection process, recognizing, by the trained convolutional neural network, whether offshore flow exists in sea wave images collected by a binocular camera or not; and finally, positioning the identified offshore flow. According to the method, the three-dimensional information of the offshore flow can be obtained based on binocular stereoscopic vision, accurate offshore flow position information can be obtained in time, the method is simple and high in operability,related workers can mark the sand beach position based on the three-dimensional information of the offshore flow to remind tourists, and drowning accidents caused by the offshore flow are reduced.
本发明公开了一种基于双目相机的离岸流检测方法，属于计算机视</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 | Offshore flow detection method based on binocular camera |
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