Forward-backward sequential Monte Carlo smoothing for joint target detection and tracking.
Daniel E. ClarkBa-Tuong VoBa-Ngu VoPublished in: FUSION (2009)
Keyphrases
- forward backward
- sequential monte carlo
- target detection and tracking
- infrared
- surveillance system
- particle filter
- hidden markov models
- visual tracking
- particle filtering
- posterior distribution
- three dimensional
- empirical mode decomposition
- monte carlo
- image reconstruction
- parameter estimation
- markov chain
- least squares
- probability distribution
- importance sampling
- multiple targets
- dynamic programming
- prior knowledge
- feature space
- machine learning