|
|
|
|
| LEADER |
04216nam a22003975i 4500 |
| 001 |
000289116 |
| 005 |
20210525103426.0 |
| 007 |
cr nn 008mamaa |
| 008 |
130417s2013 xxu| s |||| 0|eng d |
| 020 |
|
|
|a 9781461463160
|
| 024 |
7 |
|
|a 10.1007/978-1-4614-6316-0
|2 doi
|
| 040 |
|
|
|a Sistema de Bibliotecas del Tecnológico de Costa Rica
|
| 100 |
1 |
|
|a Ristic, Branko.
|e author.
|
| 245 |
1 |
0 |
|a Particle Filters for Random Set Models /
|c by Branko Ristic.
|
| 250 |
|
|
|a 1st ed. 2013.
|
| 260 |
# |
# |
|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2013.
|
| 300 |
|
|
|a XIV, 174 p. :
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 505 |
0 |
|
|a Introduction -- References -- Background -- A brief review of particle filters -- Online sensor control -- Non-standard measurements -- Imprecise measurements -- Imprecise measurement function -- Uncertain implication rules -- Particle filter implementation -- Applications -- Multiple objects and imperfect detection -- Random finite sets -- Multi-object stochastic filtering -- OSPA metric -- Specialized multi-object filters -- Bernoulli filter -- PHD and CPHD filter -- References -- Applications involving non-standard measurements -- Estimation using imprecise measurement models -- Localization using the received signal strength -- Prediction of an epidemic using syndromic data -- Summary -- Fusion of spatially referring natural language statements -- Language, space and modelling -- An illustrative example -- Classification using imprecise likelihoods -- Modelling -- Classification results -- References -- object particle filters -- Bernoulli particle filters -- Standard Bernoulli particle filters -- Bernoulli box-particle filter -- PHD/CPDH particle filters with adaptive birth intensity -- Extension of the PHD filter -- Extension of the CPHD filter -- Implementation -- A numerical study -- State estimation from PHD/CPHD particle filters -- Particle filter approximation of the exact multi-object filter -- References -- Sensor control for random set based particle filters -- Bernoulli particle filter with sensor control -- The reward function -- Bearings only tracking in clutter with observer control -- Target Tracking via Multi-Static Doppler Shifts -- Sensor control for PHD/CPHD particle filters -- The reward function -- A numerical study -- Sensor control for the multi-target state particle filter -- Particle approximation of the reward function -- A numerical study -- References -- Multi-target tracking -- OSPA-T: A performance metric for multi-target tracking -- The problem and its conceptual solution -- The base distance and labeling of estimated tracks -- Numerical examples -- Trackers based on random set filters -- Multi-target trackers based on the Bernoulli PF -- Multi-target trackers based on the PHD particle filter -- Error performance comparison using the OSPA-T error -- Application: Pedestrian tracking -- Video dataset and detections -- Description of Algorithms -- Numerical results -- References -- Advanced topics -- Filter for extended target tracking -- Mathematical models -- Equations of the Bernoulli filter for an extended target -- Numerical Implementation -- Simulation results -- Application to a surveillance video -- Calibration of tracking systems -- Background and problem formulation -- The proposed calibration algorithm -- Importance sampling with progressive correction -- Application to sensor bias estimation -- References -- Index.
|
| 650 |
|
0 |
|a Signal processing.
|
| 650 |
|
0 |
|a Image processing.
|
| 650 |
|
0 |
|a Speech processing systems.
|
| 650 |
|
0 |
|a Information theory.
|
| 650 |
|
0 |
|a Mathematical statistics.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
0 |
|a Computational intelligence.
|
| 650 |
1 |
4 |
|a Signal, Image and Speech Processing.
|
| 650 |
2 |
4 |
|a Information and Communication, Circuits.
|
| 650 |
2 |
4 |
|a Probability and Statistics in Computer Science.
|
| 650 |
2 |
4 |
|a Artificial Intelligence.
|
| 650 |
2 |
4 |
|a Computational Intelligence.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 900 |
|
|
|a Libro descargado a ALEPH en bloque (proveniente de proveedor)
|