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CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
14 years 6 days ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
CVPR
1999
IEEE
14 years 8 months ago
Bayesian Multi-Camera Surveillance
The task of multi-camera surveillance is to reconstruct the paths taken by all moving objects that are temporarily visible from multiple non-overlapping cameras. We present a Baye...
Vera Kettnaker, Ramin Zabih
ICIP
2006
IEEE
14 years 7 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
ACCV
2010
Springer
13 years 1 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...
MM
2003
ACM
122views Multimedia» more  MM 2003»
13 years 11 months ago
Mobile video stream monitoring system
IMVS (Intelligent Mobile Video Stream Monitoring System) is a mobile video surveillance system. The objective of IMVS is to design a high performance video stream monitoring syste...
Kam-yiu Lam, Calvin K. H. Chiu