40 search results - page 2 / 8 » Kernel-Based Bayesian Filtering for Object Tracking |
ICMCS
2007
IEEE
13 years 11 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...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
TCSV
2010
12 years 11 months ago
2010
Abstract--We present a novel tracking method for effectively tracking objects in structured environments. The tracking method finds applications in security surveillance, traffic m...
ISBI
2007
IEEE
13 years 11 months ago
2007
IEEE
Quantitative analysis of dynamical processes in living cells by means of fluorescence microscopy imaging requires tracking of hundreds of bright spots in noisy image sequences. D...
TSP
2010
12 years 11 months ago
2010
In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multi-target state estimat...