A State-Based Language for Enhanced Video Surveillance Modeling (SEL)

Autor: Selene Ramirez-Rosales, Luis-Antonio Diaz-Jimenez, Daniel Canton-Enriquez, Jorge-Luis Perez-Ramos, Herlindo Hernandez-Ramirez, Ana-Marcela Herrera-Navarro, Gabriela Xicotencatl-Ramirez, Hugo Jimenez-Hernandez
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Modelling, Vol 5, Iss 2, Pp 549-568 (2024)
Druh dokumentu: article
ISSN: 2673-3951
DOI: 10.3390/modelling5020029
Popis: SEL, a State-based Language for Video Surveillance Modeling, is a formal language designed to represent and identify activities in surveillance systems through scenario semantics and the creation of motion primitives structured in programs. Motion primitives represent the temporal evolution of motion evidence. They are the most basic motion structures detected as motion evidence, including operators such as sequence, parallel, and concurrency, which indicate trajectory evolution, simultaneity, and synchronization. SEL is a very expressive language that characterizes interactions by describing the relationships between motion primitives. These interactions determine the scenario’s activity and meaning. An experimental model is constructed to demonstrate the value of SEL, incorporating challenging activities in surveillance systems. This approach assesses the language’s suitability for describing complicated tasks.
Databáze: Directory of Open Access Journals