FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2741711032> ?p ?o ?g. }

• W2741711032 endingPage "361" @default.
• W2741711032 startingPage "343" @default.
• W2741711032 abstract "This paper introduces a Surveillance Video Analysis System, called SVAS, for surveillance domain, in which the semantic rules and the definition of event models can be learned or defined by the user for automatic detection and inference of complex video events. In the scope of SVAS, an event model method named Interval-Based Spatio-Temporal Model (IBSTM) is proposed. SVAS can learn action models and event models without any predefined threshold values and generates understandable and manageable IBSTM event models. Hybrid machine learning methods are proposed and used. A set of feature models named Threshold Model, which reflects the spatio-temporal motion analysis of an event, is kept as the first model. As the second model, Bag of Actions (BoA) model is used in order to reduce the search space in the detection phase. Markov Logic Network (MLN) model, which provides understandable and manageable logic predicates for users, is kept as the third model. SVAS has high performance event detection capability due to its interval-based hierarchical manner. It determines related candidate intervals for each main model of IBSTM and uses the related main model when needed rather than using all models as a whole. The main contribution of this study is to fill the semantic gap between humans and video computer systems such that, on the one hand it decreases human intervention through its learning capabilities, but on the other hand it also enables human intervention when necessary through its manageable event model method. The study achieves all of them in the most efficient way through its machine learning methods. The proposed system is applied to different event datasets from CAVIAR, BEHAVE and our synthetic datasets. The experimental results show that our approach improves the event recognition performance and precision as compared to the current state-of-the-art approaches." @default.
• W2741711032 created "2017-08-08" @default.
• W2741711032 creator A5055493571 @default.
• W2741711032 creator A5083731859 @default.
• W2741711032 date "2017-12-01" @default.
• W2741711032 modified "2023-09-25" @default.
• W2741711032 title "SVAS: Surveillance Video Analysis System" @default.
• W2741711032 cites W1563737156 @default.
• W2741711032 cites W1976058649 @default.
• W2741711032 cites W1977970897 @default.
• W2741711032 cites W1997491508 @default.
• W2741711032 cites W2003884928 @default.
• W2741711032 cites W2007964100 @default.
• W2741711032 cites W2011544602 @default.
• W2741711032 cites W2020570654 @default.
• W2741711032 cites W2028172653 @default.
• W2741711032 cites W2053765558 @default.
• W2741711032 cites W2054188566 @default.
• W2741711032 cites W2061304929 @default.
• W2741711032 cites W2064204546 @default.
• W2741711032 cites W2069309656 @default.
• W2741711032 cites W2070672477 @default.
• W2741711032 cites W2072592647 @default.
• W2741711032 cites W2093568410 @default.
• W2741711032 cites W2110478464 @default.
• W2741711032 cites W2122190623 @default.
• W2741711032 cites W2128951574 @default.
• W2741711032 cites W2130349088 @default.
• W2741711032 cites W2134266767 @default.
• W2741711032 cites W2146136606 @default.
• W2741711032 cites W2167613050 @default.
• W2741711032 cites W2500830883 @default.
• W2741711032 cites W4246695531 @default.
• W2741711032 doi "https://doi.org/10.1016/j.eswa.2017.07.051" @default.
• W2741711032 hasPublicationYear "2017" @default.
• W2741711032 type Work @default.
• W2741711032 sameAs 2741711032 @default.
• W2741711032 citedByCount "23" @default.
• W2741711032 countsByYear W27417110322018 @default.
• W2741711032 countsByYear W27417110322019 @default.
• W2741711032 countsByYear W27417110322020 @default.
• W2741711032 countsByYear W27417110322021 @default.
• W2741711032 countsByYear W27417110322022 @default.
• W2741711032 countsByYear W27417110322023 @default.
• W2741711032 crossrefType "journal-article" @default.
• W2741711032 hasAuthorship W2741711032A5055493571 @default.
• W2741711032 hasAuthorship W2741711032A5083731859 @default.
• W2741711032 hasConcept C114614502 @default.
• W2741711032 hasConcept C119857082 @default.
• W2741711032 hasConcept C121332964 @default.
• W2741711032 hasConcept C124101348 @default.
• W2741711032 hasConcept C138885662 @default.
• W2741711032 hasConcept C154945302 @default.
• W2741711032 hasConcept C177264268 @default.
• W2741711032 hasConcept C199360897 @default.
• W2741711032 hasConcept C23224414 @default.
• W2741711032 hasConcept C2776214188 @default.
• W2741711032 hasConcept C2776401178 @default.
• W2741711032 hasConcept C2778067643 @default.
• W2741711032 hasConcept C2779662365 @default.
• W2741711032 hasConcept C33923547 @default.
• W2741711032 hasConcept C41008148 @default.
• W2741711032 hasConcept C41895202 @default.
• W2741711032 hasConcept C62520636 @default.
• W2741711032 hasConceptScore W2741711032C114614502 @default.
• W2741711032 hasConceptScore W2741711032C119857082 @default.
• W2741711032 hasConceptScore W2741711032C121332964 @default.
• W2741711032 hasConceptScore W2741711032C124101348 @default.
• W2741711032 hasConceptScore W2741711032C138885662 @default.
• W2741711032 hasConceptScore W2741711032C154945302 @default.
• W2741711032 hasConceptScore W2741711032C177264268 @default.
• W2741711032 hasConceptScore W2741711032C199360897 @default.
• W2741711032 hasConceptScore W2741711032C23224414 @default.
• W2741711032 hasConceptScore W2741711032C2776214188 @default.
• W2741711032 hasConceptScore W2741711032C2776401178 @default.
• W2741711032 hasConceptScore W2741711032C2778067643 @default.
• W2741711032 hasConceptScore W2741711032C2779662365 @default.
• W2741711032 hasConceptScore W2741711032C33923547 @default.
• W2741711032 hasConceptScore W2741711032C41008148 @default.
• W2741711032 hasConceptScore W2741711032C41895202 @default.
• W2741711032 hasConceptScore W2741711032C62520636 @default.
• W2741711032 hasLocation W27417110321 @default.
• W2741711032 hasOpenAccess W2741711032 @default.
• W2741711032 hasPrimaryLocation W27417110321 @default.
• W2741711032 hasRelatedWork W2021985591 @default.
• W2741711032 hasRelatedWork W2065293157 @default.
• W2741711032 hasRelatedWork W2961085424 @default.
• W2741711032 hasRelatedWork W3046775127 @default.
• W2741711032 hasRelatedWork W4285260836 @default.
• W2741711032 hasRelatedWork W4286629047 @default.
• W2741711032 hasRelatedWork W4306321456 @default.
• W2741711032 hasRelatedWork W4306674287 @default.
• W2741711032 hasRelatedWork W2183287460 @default.
• W2741711032 hasRelatedWork W4224009465 @default.
• W2741711032 hasVolume "89" @default.
• W2741711032 isParatext "false" @default.
• W2741711032 isRetracted "false" @default.
• W2741711032 magId "2741711032" @default.

• next