视觉人体动作识别研究综述:视觉人体动作识别研究综述

Q3 Computer Science

计算机学报 Pub Date : 2014-03-20 DOI:10.3724/SP.J.1016.2013.02512

Qiong Hu, Lei Qin, Qingming Huang

{"title":"视觉人体动作识别研究综述:视觉人体动作识别研究综述","authors":"Qiong Hu, Lei Qin, Qingming Huang","doi":"10.3724/SP.J.1016.2013.02512","DOIUrl":null,"url":null,"abstract":"Visual Human Action Recognition is a universal hot topic of image processing, computer vision, pattern recognition, machine learning and artificial intelligence with wide applications in video surveillance, video retrieval, human-computer interaction, virtual reality, health care, etc. In this paper, we analyze the state-of-the-arts and advances of this field from perspectives of feature extraction, action recognition methods as well as benchmark datasets and competitions. In addition, the problems, difficulties, challenges and valuable future directions of human action recognition are presented.","PeriodicalId":35776,"journal":{"name":"计算机学报","volume":"36 1","pages":"2512-2524"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"A Survey on Visual Human Action Recognition: A Survey on Visual Human Action Recognition\",\"authors\":\"Qiong Hu, Lei Qin, Qingming Huang\",\"doi\":\"10.3724/SP.J.1016.2013.02512\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Visual Human Action Recognition is a universal hot topic of image processing, computer vision, pattern recognition, machine learning and artificial intelligence with wide applications in video surveillance, video retrieval, human-computer interaction, virtual reality, health care, etc. In this paper, we analyze the state-of-the-arts and advances of this field from perspectives of feature extraction, action recognition methods as well as benchmark datasets and competitions. In addition, the problems, difficulties, challenges and valuable future directions of human action recognition are presented.\",\"PeriodicalId\":35776,\"journal\":{\"name\":\"计算机学报\",\"volume\":\"36 1\",\"pages\":\"2512-2524\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"计算机学报\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.3724/SP.J.1016.2013.02512\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"计算机学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.3724/SP.J.1016.2013.02512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}

引用次数: 12

摘要

视觉人体动作识别是图像处理、计算机视觉、模式识别、机器学习和人工智能等领域的一个普遍热点，在视频监控、视频检索、人机交互、虚拟现实、医疗保健等领域有着广泛的应用。本文从特征提取、动作识别方法、基准数据集和竞赛等方面分析了该领域的研究现状和进展。此外，还提出了人体动作识别的问题、困难、挑战和有价值的未来方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Survey on Visual Human Action Recognition: A Survey on Visual Human Action Recognition

Visual Human Action Recognition is a universal hot topic of image processing, computer vision, pattern recognition, machine learning and artificial intelligence with wide applications in video surveillance, video retrieval, human-computer interaction, virtual reality, health care, etc. In this paper, we analyze the state-of-the-arts and advances of this field from perspectives of feature extraction, action recognition methods as well as benchmark datasets and competitions. In addition, the problems, difficulties, challenges and valuable future directions of human action recognition are presented.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

计算机学报 Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

3.00

自引率

0.00%

发文量

7308

期刊介绍：