基于局部时空特征和光流的暴力检测算法

Yao Lyu, Yingyun Yang
{"title":"基于局部时空特征和光流的暴力检测算法","authors":"Yao Lyu, Yingyun Yang","doi":"10.1109/ICIICII.2015.157","DOIUrl":null,"url":null,"abstract":"A new algorithm of detecting the violence behavior based on local spatio-temporal features and optical flow is introduced in this paper. It differs from the existing works of violence detection in what concern the data representation. Based on the physical contact detection algorithm which retains the frame containing possible violence, this paper combines Harris 3D spatio-temporal interest point detector and optical flow method to make up for defects of optical flow method in huge computation and slow processing. Experiments show that the proposed algorithm is of high to detect aggressive actions regardless of the context and number of human involved.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Violence Detection Algorithm Based on Local Spatio-temporal Features and Optical Flow\",\"authors\":\"Yao Lyu, Yingyun Yang\",\"doi\":\"10.1109/ICIICII.2015.157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new algorithm of detecting the violence behavior based on local spatio-temporal features and optical flow is introduced in this paper. It differs from the existing works of violence detection in what concern the data representation. Based on the physical contact detection algorithm which retains the frame containing possible violence, this paper combines Harris 3D spatio-temporal interest point detector and optical flow method to make up for defects of optical flow method in huge computation and slow processing. Experiments show that the proposed algorithm is of high to detect aggressive actions regardless of the context and number of human involved.\",\"PeriodicalId\":349920,\"journal\":{\"name\":\"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIICII.2015.157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIICII.2015.157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

提出了一种基于局部时空特征和光流的暴力行为检测算法。它与现有的暴力检测工作在数据表示方面的不同。本文在物理接触检测算法保留可能存在暴力的帧的基础上,将Harris三维时空兴趣点检测器与光流法相结合,弥补了光流法计算量大、处理速度慢的缺陷。实验结果表明,该算法对攻击行为的检测具有较高的识别率,与环境和人数无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Violence Detection Algorithm Based on Local Spatio-temporal Features and Optical Flow
A new algorithm of detecting the violence behavior based on local spatio-temporal features and optical flow is introduced in this paper. It differs from the existing works of violence detection in what concern the data representation. Based on the physical contact detection algorithm which retains the frame containing possible violence, this paper combines Harris 3D spatio-temporal interest point detector and optical flow method to make up for defects of optical flow method in huge computation and slow processing. Experiments show that the proposed algorithm is of high to detect aggressive actions regardless of the context and number of human involved.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信