Recommendations for evaluating the performance of background subtraction algorithms for surveillance systems

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniv Tecnol Fed Parana-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorSimon Fraser Univ-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorSanches, Silvio Ricardo Rodrigues-
Autor(es): dc.creatorSementille, Antonio Carlos [UNESP]-
Autor(es): dc.creatorAguilar, Ivan Abdo-
Autor(es): dc.creatorFreire, Valdinei-
Data de aceite: dc.date.accessioned2022-02-22T01:00:30Z-
Data de disponibilização: dc.date.available2022-02-22T01:00:30Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-09-29-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s11042-020-09838-x-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/210466-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/210466-
Descrição: dc.descriptionBackground subtraction is a prerequisite for a wide range of applications, including video surveillance systems. A significant number of algorithms are often developed and published in different publication mediums in the area, such as workshops, symposiums, conferences, and journals. An important task in presenting a new background subtraction algorithms is to clearly show that its performance outperforms the performance of the state-of-the-art algorithms. In this paper, we present recommendations on how to evaluate the performance of background subtraction algorithms for surveillance systems. We identified, through a systematic mapping, the key steps and components of this evaluation process - procedures, methods, and tools - most used by the authors in each of these steps. Considering this statistical analysis, we perform a theoretical analysis of the most used key components to identify their pros and cons. Then, we define a set of recommendations that aim to standardize and clarify the performance evaluation process of a new background subtraction algorithm.-
Descrição: dc.descriptionUniv Tecnol Fed Parana, Cornelio Procopio, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Bauru, SP, Brazil-
Descrição: dc.descriptionSimon Fraser Univ, Burnaby, BC, Canada-
Descrição: dc.descriptionUniv Sao Paulo, Elect Engn, Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Bauru, SP, Brazil-
Formato: dc.format4421-4454-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Relação: dc.relationMultimedia Tools And Applications-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectBackground subtraction-
Palavras-chave: dc.subjectPerformance assessment-
Palavras-chave: dc.subjectRecommendations-
Palavras-chave: dc.subjectSurveillance systems-
Título: dc.titleRecommendations for evaluating the performance of background subtraction algorithms for surveillance systems-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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