Automatic visual detection of human behavior: a review from 2000 to 2014

Detalhes bibliográficos
Autor(a) principal: Afsar, Palwasha
Data de Publicação: 2015
Outros Autores: Cortez, Paulo, Santos, Henrique
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/38301
Resumo: Due to advances in information technology (e.g., digital video cameras, ubiquitous sensors), the automatic detection of human behaviors from video is a very recent research topic. In this paper, we perform a systematic and recent literature review on this topic, from 2000 to 2014, covering a selection of 193 papers that were searched from six major scientific publishers. The selected papers were classified into three main subjects: detection techniques, datasets and applications. The detection techniques were divided into four categories (initialization, tracking, pose estimation and recognition). The list of datasets includes eight examples (e.g., Hollywood action). Finally, several application areas were identified, including human detection, abnormal activity detection, action recognition, player modeling and pedestrian detection. Our analysis provides a road map to guide future research for designing automatic visual human behavior detection systems.
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spelling Automatic visual detection of human behavior: a review from 2000 to 2014Data miningHuman behaviorLiterature reviewVideo analysisVideo databasesEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaScience & TechnologyDue to advances in information technology (e.g., digital video cameras, ubiquitous sensors), the automatic detection of human behaviors from video is a very recent research topic. In this paper, we perform a systematic and recent literature review on this topic, from 2000 to 2014, covering a selection of 193 papers that were searched from six major scientific publishers. The selected papers were classified into three main subjects: detection techniques, datasets and applications. The detection techniques were divided into four categories (initialization, tracking, pose estimation and recognition). The list of datasets includes eight examples (e.g., Hollywood action). Finally, several application areas were identified, including human detection, abnormal activity detection, action recognition, player modeling and pedestrian detection. Our analysis provides a road map to guide future research for designing automatic visual human behavior detection systems.This work is funded by the Portuguese Foundation for Science and Technology (FCT - Fundacao para a Ciencia e a Tecnologia) under research Grant SFRH/BD/84939/2012.ElsevierUniversidade do MinhoAfsar, PalwashaCortez, PauloSantos, Henrique2015-102015-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/38301engAfsar, P., Cortez, P., & Santos, H. (2015). Automatic visual detection of human behavior: A review from 2000 to 2014. Expert Systems with Applications, 42(20), 6935-6956. doi: 10.1016/j.eswa.2015.05.0230957-417410.1016/j.eswa.2015.05.023The original publication is available at http://www.sciencedirect.com/science/article/pii/S0957417415003516info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:22:49Zoai:repositorium.sdum.uminho.pt:1822/38301Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:16:25.405707Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Automatic visual detection of human behavior: a review from 2000 to 2014
title Automatic visual detection of human behavior: a review from 2000 to 2014
spellingShingle Automatic visual detection of human behavior: a review from 2000 to 2014
Afsar, Palwasha
Data mining
Human behavior
Literature review
Video analysis
Video databases
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
title_short Automatic visual detection of human behavior: a review from 2000 to 2014
title_full Automatic visual detection of human behavior: a review from 2000 to 2014
title_fullStr Automatic visual detection of human behavior: a review from 2000 to 2014
title_full_unstemmed Automatic visual detection of human behavior: a review from 2000 to 2014
title_sort Automatic visual detection of human behavior: a review from 2000 to 2014
author Afsar, Palwasha
author_facet Afsar, Palwasha
Cortez, Paulo
Santos, Henrique
author_role author
author2 Cortez, Paulo
Santos, Henrique
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Afsar, Palwasha
Cortez, Paulo
Santos, Henrique
dc.subject.por.fl_str_mv Data mining
Human behavior
Literature review
Video analysis
Video databases
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
topic Data mining
Human behavior
Literature review
Video analysis
Video databases
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
description Due to advances in information technology (e.g., digital video cameras, ubiquitous sensors), the automatic detection of human behaviors from video is a very recent research topic. In this paper, we perform a systematic and recent literature review on this topic, from 2000 to 2014, covering a selection of 193 papers that were searched from six major scientific publishers. The selected papers were classified into three main subjects: detection techniques, datasets and applications. The detection techniques were divided into four categories (initialization, tracking, pose estimation and recognition). The list of datasets includes eight examples (e.g., Hollywood action). Finally, several application areas were identified, including human detection, abnormal activity detection, action recognition, player modeling and pedestrian detection. Our analysis provides a road map to guide future research for designing automatic visual human behavior detection systems.
publishDate 2015
dc.date.none.fl_str_mv 2015-10
2015-10-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/38301
url http://hdl.handle.net/1822/38301
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Afsar, P., Cortez, P., & Santos, H. (2015). Automatic visual detection of human behavior: A review from 2000 to 2014. Expert Systems with Applications, 42(20), 6935-6956. doi: 10.1016/j.eswa.2015.05.023
0957-4174
10.1016/j.eswa.2015.05.023
The original publication is available at http://www.sciencedirect.com/science/article/pii/S0957417415003516
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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