Probabilistic spatio-temporal inference for motion event understanding

Neurocomputing

Volumn 122, Issue , 2013, Pages 24-32

  Choi, Chang ^a   Choi, Junho ^a   Lee, Eunji ^a   You, Ilsun ^b   Kim, Pankoo ^a  

^a Chosun University   (South Korea)

^b Korean Bible University   (South Korea)

Author keywords

Markov Logic Networks; Motion event understanding; Ontology; Probabilistic inference; Spatio temporal relation

Indexed keywords

CONNECTION RELATION; MARKOV LOGIC NETWORKS; MOTION EVENT UNDERSTANDING; PROBABILISTIC INFERENCE; PROBABILISTIC REASONING; SPATIO-TEMPORAL INFERENCE; SPATIO-TEMPORAL RELATIONS; TOPOLOGICAL RELATIONS;

MARKOV PROCESSES; ONTOLOGY; SEMANTICS;

TOPOLOGY;

ARTICLE; INFORMATION PROCESSING; MACHINE LEARNING; MARKOV LOGIC NETWORK; MATHEMATICAL COMPUTING; MOTION EVENT UNDERSTANDING; OBJECT MOVEMENT; ONTOLOGY; PRIORITY JOURNAL; PROBABILITY; SEMANTICS; SPATIOTEMPORAL ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS; VELOCITY;

EID: 84884206484     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.12.058     Document Type: Article

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