339 search results - page 32 / 68 » Isomap Tracking with Particle Filtering |
IJCAI
2003
13 years 11 months ago
2003
Particle filters are used extensively for tracking the state of non-linear dynamic systems. This paper presents a new particle filter that maintains samples in the state space a...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
CIRA
2007
IEEE
14 years 4 months ago
2007
IEEE
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
EMMCVPR
2011
Springer
12 years 9 months ago
2011
Springer
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
ICIP
2005
IEEE
14 years 11 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...