174 search results - page 1 / 35 » Optimal Importance Sampling for Tracking in Image Sequences:... |
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
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 ...
IJCV
2008
13 years 4 months ago
2008
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
ICIP
2009
IEEE
14 years 5 months ago
2009
IEEE
We present a multi modal sequential importance resampling particle filter algorithm for object tracking. We consider a hidden state sequence linked to several observation sequence...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
Sequential importance sampling (SIS), also known as particle filtering, has drawn increasing attention recently due to its superior performance in nonlinear and non-Gaussian dynam...
NIPS
2004
13 years 6 months ago
2004
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...