513 search results - page 43 / 103 » Feature-aided particle tracking |
119
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HUC
2004
Springer
15 years 5 months ago
2004
Springer
Location estimation is an important part of many ubiquitous computing systems. Particle filters are simulation-based probabilistic approximations which the robotics community has ...
101
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GECCO
2006
Springer
15 years 3 months ago
2006
Springer
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
103
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ICRA
2008
IEEE
15 years 6 months ago
2008
IEEE
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
113
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ICCV
2009
IEEE
16 years 4 months ago
2009
IEEE
We propose a novel approach for multi-person trackingby-
detection in a particle filtering framework. In addition
to final high-confidence detections, our algorithm uses the
con...
CEC
2009
IEEE
15 years 6 months ago
2009
IEEE
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...