Towards an Ontology Design Pattern for UAV Video Content Analysis

Autor: Vincenzo Loia, Sabrina Senatore, Danilo Cavaliere
Jazyk: angličtina
Rok vydání: 2019
Předmět:
autonomous aerial vehicles
computer vision
ontologies (artificial intelligence)
semantic Web
video signal processing
video surveillance
autonomous unmanned vehicles
Semantic Web Technologies
systematic ontology
advanced intelligent surveillance systems
video scene understanding
UAV video content analysis
ontology design pattern
event-driven target interactions
video tracking
high-level description
ontology schema
semantic reasoning
comprehensive high-level scene description
Ontologies
Context modeling
Knowledge based systems
Semantics
Cognition
Target tracking
Analytical models
situation awareness
scene understanding
semantic Web technologies
UAV
General Computer Science
Computer science
Ontology (information science)
Ontology schema
Knowledge-based systems
Human–computer interaction
General Materials Science
Semantic Web
Context model
Design pattern
General Engineering
Video content analysis
Video tracking
Ontology
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:TK1-9971
Zdroj: IEEE Access, Vol 7, Pp 105342-105353 (2019)
ISSN: 2169-3536
Popis: Video scene understanding is leading to an increased research investment in developing artificial intelligence technologies, pattern recognition, and computer vision, especially with the advance in sensor technologies. Developing autonomous unmanned vehicles, able to recognize not just targets appearing in a scene but a complete scene the targets are involved in (describing events, actions, situations, etc.) is becoming crucial in the recent advanced intelligent surveillance systems. At the same time, besides these consolidated technologies, the Semantic Web Technologies are also emerging, yielding seamless support to the high-level understanding of the scenes. To this purpose, the paper proposes a systematic ontology modeling to support and improve video content analysis, by generating a comprehensive high-level scene description, achieved by semantic reasoning and querying. The ontology schema comes from as an integration of new and existing ontologies and provides some design pattern guideline to get a high-level description of a whole scenario. It starts from the description of basic targets in the video scenario, thanks to the support of video tracking algorithms and target classification; then provides a higher level interpretation, compounding event-driven target interactions (for local activity comprehension), to reach gradually an abstraction high level that enables a concise and complete scenario description.
Databáze: OpenAIRE
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