FALL BEHAVIOR IDENTIFICATION METHOD BASED ON VIDEO CLASSIFICATION AND ELECTRONIC DEVICE
The present invention relates to the technical field of video monitoring, provides a fall behavior identification method based on video classification and an electronic device, and solves the problem of low identification accuracy of fall detection technology. The method comprises: detecting human s...
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| creator | CHEN, Lei WANG, Sijun SUN, Najiao DAI, Lin QU, Guanming CHEN, Dongliang WANG, Rujie |
| description | The present invention relates to the technical field of video monitoring, provides a fall behavior identification method based on video classification and an electronic device, and solves the problem of low identification accuracy of fall detection technology. The method comprises: detecting human skeleton key points in a video frame image to be identified; tracking a human target on the basis of the human skeleton key points, and acquiring a motion trajectory of the human target and the motion change process of the human skeleton key points; identifying a fall behavior in a human skeleton sequence diagram by using an ST-GCN model to obtain a first identification result; identifying a fall behavior in a video sequence by using an S3DFAST double-flow model to obtain a second identification result; and carrying out comprehensive judgment on the first identification result and the second identification result to obtain a final fall identification result.
La présente invention se rapporte au domaine technique de |
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La présente invention se rapporte au domaine technique de</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNirEKwjAUALM4iPoPD5yFNhXp-pq8kAcxgSakYykSJ9FC_X_sILg6HcfdVgwGnYOOLGYOPbAmn9iwwsTBw5WSDRo6jKRh9bz2AMphjL8JvQZypFIfPCvQlFnRXmzu02Mphy934mgoKXsq82ssyzzdyrO8xyHISp7rqrm0Euvmv-sDWCYxig</recordid><startdate>20240523</startdate><enddate>20240523</enddate><creator>CHEN, Lei</creator><creator>WANG, Sijun</creator><creator>SUN, Najiao</creator><creator>DAI, Lin</creator><creator>QU, Guanming</creator><creator>CHEN, Dongliang</creator><creator>WANG, Rujie</creator><scope>EVB</scope></search><sort><creationdate>20240523</creationdate><title>FALL BEHAVIOR IDENTIFICATION METHOD BASED ON VIDEO CLASSIFICATION AND ELECTRONIC DEVICE</title><author>CHEN, Lei ; WANG, Sijun ; SUN, Najiao ; DAI, Lin ; QU, Guanming ; CHEN, Dongliang ; WANG, Rujie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_WO2024103682A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng ; fre</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN, Lei</creatorcontrib><creatorcontrib>WANG, Sijun</creatorcontrib><creatorcontrib>SUN, Najiao</creatorcontrib><creatorcontrib>DAI, Lin</creatorcontrib><creatorcontrib>QU, Guanming</creatorcontrib><creatorcontrib>CHEN, Dongliang</creatorcontrib><creatorcontrib>WANG, Rujie</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN, Lei</au><au>WANG, Sijun</au><au>SUN, Najiao</au><au>DAI, Lin</au><au>QU, Guanming</au><au>CHEN, Dongliang</au><au>WANG, Rujie</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>FALL BEHAVIOR IDENTIFICATION METHOD BASED ON VIDEO CLASSIFICATION AND ELECTRONIC DEVICE</title><date>2024-05-23</date><risdate>2024</risdate><abstract>The present invention relates to the technical field of video monitoring, provides a fall behavior identification method based on video classification and an electronic device, and solves the problem of low identification accuracy of fall detection technology. The method comprises: detecting human skeleton key points in a video frame image to be identified; tracking a human target on the basis of the human skeleton key points, and acquiring a motion trajectory of the human target and the motion change process of the human skeleton key points; identifying a fall behavior in a human skeleton sequence diagram by using an ST-GCN model to obtain a first identification result; identifying a fall behavior in a video sequence by using an S3DFAST double-flow model to obtain a second identification result; and carrying out comprehensive judgment on the first identification result and the second identification result to obtain a final fall identification result.
La présente invention se rapporte au domaine technique de</abstract><oa>free_for_read</oa></addata></record> |
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| title | FALL BEHAVIOR IDENTIFICATION METHOD BASED ON VIDEO CLASSIFICATION AND ELECTRONIC DEVICE |
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