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» Video Mensuration Using a Stationary Camera
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MVA
2007
161views Computer Vision» more  MVA 2007»
13 years 7 months ago
Using Space-Time Interest Points for Video Sequence Synchronization
We introduce an algorithm for synchronizing two video sequences recorded by stationary cameras. It extends common RANSAC-based approaches that recover either a homography or a fun...
Daniel Wedge, Du Huynh, Peter Kovesi
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
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
14 years 11 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
ICPR
2006
IEEE
14 years 7 months ago
Video Synchronization Based on Co-occurrence of Appearance Changes in Video Sequences
This paper presents a method for synchronizing multiple cameras from only the images captured by the cameras, assuming that they are not connected to an external clock signal sour...
Koichiro Deguchi, Manabu Ushizaki, Takayuki Okatan...
TCSV
2010
13 years 1 months ago
Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
Harish Bhaskar, Lyudmila Mihaylova, Alin Achim