Group target tracking method based on robust MS-MeMBer filtering
The invention discloses a group target tracking method based on robust MS-MeMBer filtering, and belongs to the technical field of information processing, and the method comprises the steps: initializing parameters, then carrying out the prediction step of robust MS-MeMBer filtering, and generating p...
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| creator | LI YISHUI SUN KANG WANG XUXIN JIANG YUE CHEN HUI ZHAO ZIWEN CHEN TIANBO CUI JING |
| description | The invention discloses a group target tracking method based on robust MS-MeMBer filtering, and belongs to the technical field of information processing, and the method comprises the steps: initializing parameters, then carrying out the prediction step of robust MS-MeMBer filtering, and generating predicted multi-target density; obtaining a multi-sensor measurement set, and carrying out measurement partition on the multi-sensor measurement set based on an S-D matching algorithm to generate a measurement partition set; calculating the predicted multi-target density and the measurement to-be-divided set to obtain updated multi-target density; obtaining a group structure of the group target through a graph theory algorithm and an adjacent matrix, and obtaining a motion state of the group target through a stochastic differential equation model; and transmitting the group structure and the motion state to a prediction step of robust MS-MeMBer filtering at the next moment for iterative loop, and generating a tracke |
| format | Patent |
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obtaining a multi-sensor measurement set, and carrying out measurement partition on the multi-sensor measurement set based on an S-D matching algorithm to generate a measurement partition set; calculating the predicted multi-target density and the measurement to-be-divided set to obtain updated multi-target density; obtaining a group structure of the group target through a graph theory algorithm and an adjacent matrix, and obtaining a motion state of the group target through a stochastic differential equation model; and transmitting the group structure and the motion state to a prediction step of robust MS-MeMBer filtering at the next moment for iterative loop, and generating a tracke</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</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=20240301&DB=EPODOC&CC=CN&NR=117634614A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240301&DB=EPODOC&CC=CN&NR=117634614A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI YISHUI</creatorcontrib><creatorcontrib>SUN KANG</creatorcontrib><creatorcontrib>WANG XUXIN</creatorcontrib><creatorcontrib>JIANG YUE</creatorcontrib><creatorcontrib>CHEN HUI</creatorcontrib><creatorcontrib>ZHAO ZIWEN</creatorcontrib><creatorcontrib>CHEN TIANBO</creatorcontrib><creatorcontrib>CUI JING</creatorcontrib><title>Group target tracking method based on robust MS-MeMBer filtering</title><description>The invention discloses a group target tracking method based on robust MS-MeMBer filtering, and belongs to the technical field of information processing, and the method comprises the steps: initializing parameters, then carrying out the prediction step of robust MS-MeMBer filtering, and generating predicted multi-target density; 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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Group target tracking method based on robust MS-MeMBer filtering |
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