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  1. First ACM SIGMM international workshop on Video surveillance (IWVS '03)
  2. 3D video surveillance with Augmented Virtual Environments
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A convex penalty method for optical human motion tracking
Motion analysis of Omni-Directional video streams for a mobile sentry
Computer vision techniques for PDA accessibility of in-house video surveillance
Multi-level background initialization using Hidden Markov Models
Resolution enhancement of facial image based on top-down learning
A novel technique for indexing video surveillance data
Multi-views tracking within and across uncalibrated camera streams
Recognition of two-person interactions using a hierarchical Bayesian network
3D video surveillance with Augmented Virtual Environments
Independent motion detection directly from compressed surveillance video
Experiential Sampling for video surveillance
A master-slave system to acquire biometric imagery of humans at distance

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3D video surveillance with Augmented Virtual Environments

Content Provider ACM Digital Library
Author You, Suya Neumann, Ulrich Sebe, Ismail Oner Hu, Jinhui
Abstract Recent advances in sensing and computing technologies have inspired a new generation of data analysis and visualization systems for video surveillance applications. We present a novel visualization system for video surveillance based on an Augmented Virtual Environment (AVE) that fuses dynamic imagery with 3D models in a real-time display to help observers comprehend multiple streams of temporal data and imagery from arbitrary views of the scene. This paper focuses on our recent technical extensions to our AVE system, including moving object detection, tracking, and 3D display for effective dynamic event comprehension and situational awareness. Moving objects are detected and tracked in video sequences and visualized as pseudo-3D elements in the AVE scene display in real-time. We show results that illustrate the utility and benefits of these new capabilities.
Starting Page 107
Ending Page 112
Page Count 6
File Format PDF
ISBN 158113780X
DOI 10.1145/982452.982466
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2003-11-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Object detection and tracking Video surveillance Augmented reality
Content Type Text
Resource Type Article
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