Cargando…

Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation

With the wide applications of vision based intelligent systems, image and video analysis technologies have attracted the attention of researchers in the computer vision field. In image and video analysis, human activity recognition is an important research direction. By interpreting and understandin...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Xin, Tang, Jinshan, Zhang, Xiaolong, Liu, Xiaoming, Zhang, Hong, Qiu, Yimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3649413/
https://www.ncbi.nlm.nih.gov/pubmed/23353144
http://dx.doi.org/10.3390/s130201635
_version_ 1782268966174982144
author Xu, Xin
Tang, Jinshan
Zhang, Xiaolong
Liu, Xiaoming
Zhang, Hong
Qiu, Yimin
author_facet Xu, Xin
Tang, Jinshan
Zhang, Xiaolong
Liu, Xiaoming
Zhang, Hong
Qiu, Yimin
author_sort Xu, Xin
collection PubMed
description With the wide applications of vision based intelligent systems, image and video analysis technologies have attracted the attention of researchers in the computer vision field. In image and video analysis, human activity recognition is an important research direction. By interpreting and understanding human activities, we can recognize and predict the occurrence of crimes and help the police or other agencies react immediately. In the past, a large number of papers have been published on human activity recognition in video and image sequences. In this paper, we provide a comprehensive survey of the recent development of the techniques, including methods, systems, and quantitative evaluation of the performance of human activity recognition.
format Online
Article
Text
id pubmed-3649413
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Molecular Diversity Preservation International (MDPI)
record_format MEDLINE/PubMed
spelling pubmed-36494132013-06-04 Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation Xu, Xin Tang, Jinshan Zhang, Xiaolong Liu, Xiaoming Zhang, Hong Qiu, Yimin Sensors (Basel) Review With the wide applications of vision based intelligent systems, image and video analysis technologies have attracted the attention of researchers in the computer vision field. In image and video analysis, human activity recognition is an important research direction. By interpreting and understanding human activities, we can recognize and predict the occurrence of crimes and help the police or other agencies react immediately. In the past, a large number of papers have been published on human activity recognition in video and image sequences. In this paper, we provide a comprehensive survey of the recent development of the techniques, including methods, systems, and quantitative evaluation of the performance of human activity recognition. Molecular Diversity Preservation International (MDPI) 2013-01-25 /pmc/articles/PMC3649413/ /pubmed/23353144 http://dx.doi.org/10.3390/s130201635 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Xu, Xin
Tang, Jinshan
Zhang, Xiaolong
Liu, Xiaoming
Zhang, Hong
Qiu, Yimin
Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation
title Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation
title_full Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation
title_fullStr Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation
title_full_unstemmed Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation
title_short Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation
title_sort exploring techniques for vision based human activity recognition: methods, systems, and evaluation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3649413/
https://www.ncbi.nlm.nih.gov/pubmed/23353144
http://dx.doi.org/10.3390/s130201635
work_keys_str_mv AT xuxin exploringtechniquesforvisionbasedhumanactivityrecognitionmethodssystemsandevaluation
AT tangjinshan exploringtechniquesforvisionbasedhumanactivityrecognitionmethodssystemsandevaluation
AT zhangxiaolong exploringtechniquesforvisionbasedhumanactivityrecognitionmethodssystemsandevaluation
AT liuxiaoming exploringtechniquesforvisionbasedhumanactivityrecognitionmethodssystemsandevaluation
AT zhanghong exploringtechniquesforvisionbasedhumanactivityrecognitionmethodssystemsandevaluation
AT qiuyimin exploringtechniquesforvisionbasedhumanactivityrecognitionmethodssystemsandevaluation