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MLMI
2005
Springer
15 years 3 months ago
Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding
Abstract. This paper presents a novel approach to the problem of estimating and tracking 3D locations of multiple targets in a scene using measurements gathered from multiple calib...
Cristian Canton-Ferrer, Josep R. Casas, A. Murat T...
CVPR
2012
IEEE
12 years 12 months ago
Decentralized particle filter for joint individual-group tracking
In this paper, we address the task of tracking groups of people in surveillance scenarios. This is a major challenge in computer vision, since groups are structured entities, subj...
Loris Bazzani, Marco Cristani, Vittorio Murino
CVPR
2007
IEEE
15 years 11 months ago
Physics-Based Person Tracking Using Simplified Lower-Body Dynamics
We introduce a physics-based model for 3D person tracking. Based on a biomechanical characterization of lower-body dynamics, the model captures important physical properties of bi...
Marcus A. Brubaker, David J. Fleet, Aaron Hertzman...
ICIP
2006
IEEE
15 years 11 months ago
Effects of Parameters Variations in Particle Filter Tracking
Many implementations of visual tracking have been proposed since many years. The lack of standard evaluation process has prevented fair comparison between them. In this paper, we ...
Céline Mancas-Thillou, Caroline Machy, Dere...
ICIP
2002
IEEE
15 years 11 months ago
Parametric contour tracking using unscented Kalman filter
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
Yunqiang Chen, Thomas S. Huang, Yong Rui