dor_id: 45663

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Journal of Applied Research and Technology", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Scopus, Directory of Open Access Journals (DOAJ); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Indice de Revistas Latinoamericanas en Ciencias (Periódica); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (Redalyc); Consejo Nacional de Ciencia y Tecnología (CONACyT); Google Scholar Citation

561.#.#.u: https://www.icat.unam.mx/

650.#.4.x: Ingenierías

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

351.#.#.b: Journal of Applied Research and Technology

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/276/273

100.1.#.a: Elba, E.

524.#.#.a: Elba, E. (2013). Fuzzy Logic-Based Scenario Recognition from Video Sequences. Journal of Applied Research and Technology; Vol. 11 Núm. 5. Recuperado de https://repositorio.unam.mx/contenidos/45663

245.1.0.a: Fuzzy Logic-Based Scenario Recognition from Video Sequences

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2013

264.#.1.c: 2013-10-01

653.#.#.a: Scenario recognition; high level processing; control chart; fuzzy logic

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/276

001.#.#.#: 074.oai:ojs2.localhost:article/276

041.#.7.h: spa

520.3.#.a: In recent years, video surveillance and monitoring have gained importance because of security and safety concerns.Banks, borders, airports, stores, and parking areas are the important application areas. There are two main parts inscenario recognition Low level processing, including moving object detection and object tracking, and featureextraction. We have developed new features through this work which are RUD (relative upper density), RMD (relativemiddle density) and RLD (relative lower density), and we have used other features such as aspect ratio, width, height,and color of the object. High level processing, including event start-end point detection, activity detection for eachframe and scenario recognition for sequence of images. This part is the focus of our research, and different patternrecognition and classification methods are implemented and experimental results are analyzed. We looked intoseveral methods of classification which are decision tree, frequency domain classification, neural network-basedclassification, Bayes classifier, and pattern recognition methods, which are control charts, and hidden Markov models.The control chart approach, which is a decision methodology, gives more promising results than other methodologies.Overlapping between events is one of the problems, hence we applied fuzzy logic technique to solve this problem.After using this method the total accuracy increased from 95.6 to 97.2.

773.1.#.t: Journal of Applied Research and Technology; Vol. 11 Núm. 5

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.1016/S1665-6423(13)71578-5

harvesting_date: 2023-11-08 13:10:00.0

856.#.0.q: application/pdf

last_modified: 2024-03-19 14:00:00

license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es

license_type: by-nc-sa

_deleted_conflicts: 2-ea7fff105c1df81a5e883d663fbe65b0

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