When multimedia meets surveillance and forensics in people security

MiFor '10 Pub Date : 2010-10-29 DOI:10.1145/1877972.1877987
R. Cucchiara
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引用次数: 1

Abstract

When new disciplines emerge, and their commercial applications arise, the market invents new terms and definitions. This is the case of new fields related to surveillance and forensics for people security, which are adopting multimedia, computer vision, content-based retrieval technologies massively. Thus new tools of "intelligent video analytics", "VCA" ("video-content-analysis"), "smart surveillance", "smart forensics" etc. are invading the Web and the ICT market and many research projects in this area are spreading worldwide. This talk aims at presenting the research advances in multimedia and related technologies for people security, that are spreading in applications of real-time video surveillance and off-line analysis of video footage for forensics purposes. In both contexts, two aspects must be taken into account: the data management and the data analysis. In the former aspect, since privacy, legal and security issues are involved, all technology advancements in reliable network transmission, watermarking, secure storing and delivering, transcoding and so on are explored and tailored to the application. In the latter aspect, the research in computer vision, audio analysis, sensor fusion, content-based retrieval, multimedia data mining and metadata analysis are merged with the common goal to extract in real-time or in a very fast way (to cope with the huge amount of data) all the possible knowledge about the scene evidence, the people aspect and the people behavior. This talk, after a brief overview of the state-of-the-art, will focus in particular on this second aspect and in particular on the advances and the challenges of research in people detection, people action and activity analysis, behavior and event detection also in crowd scene covered by forest of cameras. Some recent projects of Modena's ImageLab will be presented together with some results in sensor fusion for people identification and tracking.
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当多媒体在人们的安全中遇到监控和取证
当新的学科出现,它们的商业应用出现时,市场就会发明新的术语和定义。这就是与人们安全相关的监视和取证新领域的情况,这些领域正在大量采用多媒体、计算机视觉、基于内容的检索技术。因此,“智能视频分析”、“VCA”(“视频内容分析”)、“智能监控”、“智能取证”等新工具正在入侵网络和信息通信技术市场,该领域的许多研究项目正在全球范围内蔓延。本讲座旨在介绍多媒体及相关技术在人员安全方面的研究进展,这些技术正在应用于实时视频监控和离线视频片段分析,用于取证目的。在这两种情况下,必须考虑两个方面:数据管理和数据分析。在前者方面,由于涉及到隐私、法律和安全问题,所以在可靠的网络传输、水印、安全存储和传输、转码等方面的所有技术进步都是针对应用进行探索和定制的。在后一个方面,融合了计算机视觉、音频分析、传感器融合、基于内容的检索、多媒体数据挖掘和元数据分析等方面的研究,共同的目标是实时或非常快速地(处理海量数据)提取关于场景证据、人方面和人的行为的所有可能的知识。本次演讲,在对最新技术进行简要概述之后,将特别关注第二个方面,特别是在人员检测,人员行动和活动分析,行为和事件检测方面的研究进展和挑战,也包括在摄像机覆盖的人群场景中。摩德纳ImageLab最近的一些项目将与用于人员识别和跟踪的传感器融合的一些结果一起展示。
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When multimedia meets surveillance and forensics in people security Privacy preserving video surveillance using pedestrian tracking mechanism A game-theoretic system security design for the visible watermarking Videntifier" Forensic: large-scale video identification in practice Imputing human descriptions in semantic biometrics
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