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» Object Classification and Tracking in Video Surveillance
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CVPR
1999
IEEE
14 years 10 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
TIP
2008
344views more  TIP 2008»
13 years 7 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
ICPR
2008
IEEE
14 years 9 months ago
People and luggage recognition in airport surveillance under real-time constraints
This paper describes an approach to classify people, groups of people and luggage in the halls of an airport. The algorithm is included into a surveillance system which tracks and...
Vicente Luis Atienza Vanacloig, Juan Alfonso Rosel...
PCM
2004
Springer
326views Multimedia» more  PCM 2004»
14 years 1 months ago
Automatic Video Object Tracking Using a Mosaic-Based Background
In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosa...
Young-Kee Jung, Kyu-Won Lee, Dong-Min Woo, Yo-Sung...
IWINAC
2009
Springer
14 years 2 months ago
Optimised Particle Filter Approaches to Object Tracking in Video Sequences
In this paper, the ways of optimising a Particle Filter video tracking algorithm are investigated. The optimisation scheme discussed in this work is based on hybridising a Particle...
Artur Loza, Fanglin Wang, Miguel A. Patricio, Jes&...