@prefix dc: <http://purl.org/dc/terms/> .
@prefix this: <http://purl.org/np/RAzkKz6HWQqBjlfkoO7XrTQ7KJrYKj7FMhjcWx_MNL5Jc> .
@prefix sub: <http://purl.org/np/RAzkKz6HWQqBjlfkoO7XrTQ7KJrYKj7FMhjcWx_MNL5Jc#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix pav: <http://purl.org/pav/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix doco: <http://purl.org/spar/doco/> .
@prefix c4o: <http://purl.org/spar/c4o/> .
sub:Head {
  this: np:hasAssertion sub:assertion ;
    np:hasProvenance sub:provenance ;
    np:hasPublicationInfo sub:pubinfo ;
    a np:Nanopublication .
}
sub:assertion {
  sub:paragraph c4o:hasContent "Our approach differs from classical computer vision which deals with algorithm improvements [46] and signal processing problems [35], by dealing with a meaning problem in computer vision [39], where the observation of the smart camera is improved by semantically fusing it with contextual information (e.g., position of the sensors, position of the users, spaces in the environment and events that have occurred)." ;
    a doco:Paragraph .
}
sub:provenance {
  sub:assertion prov:hadPrimarySource <http://dx.doi.org/10.3233/SW-180298> ;
    prov:wasAttributedTo <https://orcid.org/0000-0002-8429-8208> .
}
sub:pubinfo {
  this: dc:created "2019-11-12T12:34:11+01:00"^^xsd:dateTime ;
    pav:createdBy <https://orcid.org/0000-0002-7114-6459> .
}