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» A Probabilistic Model for Camera Zoom Detection
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ICPR
2002
IEEE
14 years 6 months ago
A Probabilistic Model for Camera Zoom Detection
Camera motion detection is essential for automated video analysis. We propose a new probabilistic model for detecting zoom-in/zoom-out operations. The model uses EM to estimate th...
Rong Jin, Yanjun Qi, Alexander G. Hauptmann
CVPR
2003
IEEE
13 years 11 months ago
Continuous Tracking Within and Across Camera Streams
This paper presents a new approach for continuous tracking of moving objects observed by multiple, heterogeneous cameras. Our approach simultaneously processes video streams from ...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
CVPR
2000
IEEE
14 years 7 months ago
Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System
The engineering of computer vision systems that meet application speci c computational and accuracy requirements is crucial to the deployment of real-life computer vision systems....
Michael Greiffenhagen, Visvanathan Ramesh, Dorin C...
EUROSSC
2006
Springer
13 years 9 months ago
Dynamic Bayesian Networks for Visual Surveillance with Distributed Cameras
Abstract. This paper presents a surveillance system for tracking multiple people through a wide area with sparsely distributed cameras. The computational core of the system is an a...
Wojciech Zajdel, Ali Taylan Cemgil, Ben J. A. Kr&o...
JAISE
2011
179views more  JAISE 2011»
12 years 8 months ago
A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera
Person tracking is an important topic in ambient living systems as well as in computer vision. In particular, detecting a person from a ceiling-mounted camera is a challenge since ...
Wenjie Yan, Cornelius Weber, Stefan Wermter