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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
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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 |
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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 |
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