339 search results - page 6 / 68 » Isomap Tracking with Particle Filtering |
AMDO
2010
Springer
13 years 5 months ago
2010
Springer
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...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The import...
HUMO
2007
Springer
13 years 9 months ago
2007
Springer
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...