Automatic visual detection of human behavior: a review from 2000 to 2014
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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