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CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
15 years 3 months 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
15 years 11 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
15 years 11 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
14 years 4 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»
15 years 2 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