http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112270688-A

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filingDate 2020-11-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3ef3a6b77aa1b2b35f65222f7905dea8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_61a72693a5ac456f112ea4b0614bdd58
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publicationDate 2021-01-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112270688-A
titleOfInvention Foreground extraction method, device, equipment and storage medium
abstract The application relates to a foreground extraction method, a device, equipment or a storage medium, wherein the method comprises the following steps: acquiring an infrared image sequence and a visible light image sequence; the infrared image sequence corresponds to the visible light image sequence one by one; carrying out contrast processing on each frame of infrared image in the infrared image sequence to obtain an initial mask image sequence; connecting the initial mask image sequence and the visible light image sequence in series to obtain an input image sequence; performing feature extraction on an input image sequence according to the trained feature extraction model to obtain a feature tensor; determining a prediction mask image corresponding to the characteristic tensor according to the trained long-time memory network model; and determining a foreground image according to the predicted mask image and the visible light image. The foreground extraction method provided by the embodiment of the application is suitable for extracting static or moving foreground objects, including semitransparent objects, motion fuzzy objects and virtual focus objects, and can improve the extraction precision of the edges of the foreground objects.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113822818-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/TW-I792978-B
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priorityDate 2020-11-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 31.