A generalized expression of multi-target probability density in the framework of FISST
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- Type
- article
- Published
- 2015-06-25
- Cited by
- 0
- References
- 18
- OpenAlex
- https://openalex.org/W1501043681
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:40662830
Keywords
Parameterized complexity, Expression (computer science), Set (abstract data type), Filter (signal processing), Probability density function
References
- Statistical Multisource-Multitarget Information Fusion
- Beyond the Kalman Filter: Particle Filters for Tracking Applications
- On performance evaluation of multi-object filters
- The Labeled Multi-Bernoulli Filter
- An Efficient Multi-Frame Track-Before-Detect Algorithm for Multi-Target Tracking
- A Computationally Efficient Particle Filter for Multitarget Tracking Using an Independence Approximation
- Foundations of Modern Probability
- Labeled Random Finite Sets and Multi-Object Conjugate Priors
- The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations
- Joint Detection and Estimation of Multiple Objects From Image Observations
- A Consistent Metric for Performance Evaluation of Multi-Object Filters
- The Gaussian Mixture Probability Hypothesis Density Filter
- A Tutorial on Bernoulli Filters: Theory, Implementation and Applications
- Design and implementation of a fully automated OTH radar tracking system
- A Bayesian Approach to Multiple Target Detection and Tracking
- The EM algorithm and extensions
- The EM Algorithm and Extensions
- Sequential Monte Carlo Methods
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