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ICPR
2008
IEEE
15 years 11 months ago
SVD based Kalman particle filter for robust visual tracking
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
Qingdi Wei, Weiming Hu, Xi Li, Xiaoqin Zhang, Yang...
AMDO
2010
Springer
14 years 7 months ago
Compatible Particles for Part-Based Tracking
Particle Filter methods are one of the dominant tracking paradigms due to its ability to handle non-gaussian processes, multimodality and temporal consistency. Traditionally, the e...
Brais Martínez, Marc Vivet, Xavier Binefa
ECCV
2004
Springer
15 years 11 months ago
Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking
Abstract. In this paper, we propose a particle filtering approach for tracking applications in image sequences. The system we propose combines a measurement equation and a dynamic ...
Étienne Mémin, Elise Arnaud
CSB
2005
IEEE
129views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Deformable Modeling for Improved Calculation of Molecular Velocities from Single-Particle Tracking
Single-particle tracking provides a powerful technique for measuring dynamic cellular processes on the level of individual molecules. Much recent work has been devoted to using si...
Peter M. Kasson, Mark M. Davis, Axel T. Brüng...
ECCV
2006
Springer
15 years 11 months ago
Robust Visual Tracking for Multiple Targets
We address the problem of robust multi-target tracking within the application of hockey player tracking. The particle filter technique is adopted and modified to fit into the multi...
Yizheng Cai, Nando de Freitas, James J. Little