Perceptual narratives of space and motion for semantic interpretation of visual data

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dc.contributor.authorSUCHAN, J.
dc.contributor.authorBHATT, M.
dc.contributor.authorPaulo Santos
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-8484-0354
dc.date.accessioned2022-01-12T22:00:17Z
dc.date.available2022-01-12T22:00:17Z
dc.date.issued2015-09-05
dc.description.abstract© Springer International Publishing Switzerland 2015.We propose a commonsense theory of space and motion for the high-level semantic interpretation of dynamic scenes. The theory provides primitives for commonsense representation and reasoning with qualitative spatial relations, depth profiles, and spatio-temporal change; these may be combined with probabilistic methods for modelling and hypothesising event and object relations. The proposed framework has been implemented as a general activity abstraction and reasoning engine, which we demonstrate by generating declaratively grounded visuo-spatial narratives of perceptual input from vision and depth sensors for a benchmark scenario. Our long-term goal is to provide general tools (integrating different aspects of space, action, and change) necessary for tasks such as realtime human activity interpretation and dynamic sensor control within the purview of cognitive vision, interaction, and control.
dc.description.firstpage339
dc.description.lastpage354
dc.description.volume8926
dc.identifier.citationSUCHAN, J.; BHATT, M.; SANTOS, P. E. Perceptual narratives of space and motion for semantic interpretation of visual data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8926, n. 339-354, Sept. 2012.
dc.identifier.doi10.1007/978-3-319-16181-5_24
dc.identifier.issn1611-3349
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3990
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsAcesso Aberto
dc.titlePerceptual narratives of space and motion for semantic interpretation of visual data
dc.typeArtigo de evento
fei.scopus.citations10
fei.scopus.eid2-s2.0-84928812834
fei.scopus.subjectHigh level semantics
fei.scopus.subjectHuman activities
fei.scopus.subjectObject-relations
fei.scopus.subjectProbabilistic methods
fei.scopus.subjectSemantic interpretation
fei.scopus.subjectSpatial narratives
fei.scopus.subjectSpatial relations
fei.scopus.subjectSpatio-temporal changes
fei.scopus.updated2024-12-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84928812834&origin=inward
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