258 search results - page 4 / 52 » Multiple Object Tracking with Kernel Particle Filter |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
We present a generic tracker which can handle a variety of different objects. For this purpose, groups of low-level features like interest points, edges, homogeneous and textured ...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Most object tracking approaches either assume that the number of objects is constant, or that information about object existence is provided by some external source. Here, we show...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...