513 search results - page 18 / 103 » Feature-aided particle tracking |
ICASSP
2007
IEEE
15 years 6 months ago
2007
IEEE
We propose a multi-target tracking algorithm based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. The PHD filter is used to compen...
CVPR
2006
IEEE
15 years 6 months ago
2006
IEEE
This paper describes a new approach to motion estimation in video. We represent video motion using a set of particles. Each particle is an image point sample with a longduration t...
112
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CAEPIA
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
ICASSP
2010
IEEE
15 years 3 days ago
2010
IEEE
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternati...
131
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AMDO
2004
Springer
15 years 5 months ago
2004
Springer
Particle filter is a powerful algorithm to deal with non-linear and non-Gaussian tracking problems. However the algorithm relying only upon one image cue often fails in challengin...