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» Pearson-based mixture model for color object tracking
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CVPR
2005
IEEE
14 years 8 months ago
Using Particles to Track Varying Numbers of Interacting People
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez
CLEAR
2007
Springer
145views Biometrics» more  CLEAR 2007»
14 years 27 days ago
Multi-person Tracking Strategies Based on Voxel Analysis
Abstract. This paper presents two approaches to the problem of simultaneous tracking of several people in low resolution sequences from multiple calibrated cameras. Spatial redunda...
Cristian Canton-Ferrer, Jordi Salvador, Josep R. C...
SIBGRAPI
2005
IEEE
14 years 8 days ago
Background Subtraction and Shadow Detection in Grayscale Video Sequences
Tracking moving objects in video sequence is an important problem in computer vision, with applications several fields, such as video surveillance and target tracking. Most techn...
Julio Cezar Silveira Jacques Jr., Cláudio R...
CAIP
2003
Springer
176views Image Analysis» more  CAIP 2003»
13 years 12 months ago
Evaluation of an Adaptive Composite Gaussian Model in Video Surveillance
Video surveillance systems seek to automatically identify events of interest in a variety of situations. Extracting a moving object from background is the most important step of t...
Qi Zang, Reinhard Klette
CRV
2005
IEEE
272views Robotics» more  CRV 2005»
13 years 8 months ago
Real-Time Video Surveillance with Self-Organizing Maps
In this paper, we present an approach for video surveillance involving (a) moving object detection, (b) tracking and (c) normal/abnormal event recognition. The detection step uses...
Mohamed Dahmane, Jean Meunier