|
|
|
|
| LEADER |
02456nmm a2200349 u 4500 |
| 001 |
EB001074983 |
| 003 |
EBX01000000000000000837305 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
150804 ||| eng |
| 020 |
|
|
|a 9783319194318
|
| 100 |
1 |
|
|a Sworder, David D.
|
| 245 |
0 |
0 |
|a Locating, Classifying and Countering Agile Land Vehicles
|h Elektronische Ressource
|b With Applications to Command Architectures
|c by David D. Sworder, John E. Boyd
|
| 250 |
|
|
|a 1st ed. 2016
|
| 260 |
|
|
|a Cham
|b Springer International Publishing
|c 2016, 2016
|
| 300 |
|
|
|a XIV, 290 p. 165 illus., 161 illus. in color
|b online resource
|
| 505 |
0 |
|
|a A Model for Tracking and Classification -- Target Location Using the Extended Kalman Filter -- Tracking an Agile Target -- Intercept and Target Prediction -- Classification and Target Tempo -- Assurance Regions on a Road Grid -- ActionWindows with Resource Limits -- Serendipitous Events in Tracking and Classification -- Deceiving a Classifier
|
| 653 |
|
|
|a Security Science and Technology
|
| 653 |
|
|
|a Multimedia systems
|
| 653 |
|
|
|a Security systems
|
| 653 |
|
|
|a Signal, Speech and Image Processing
|
| 653 |
|
|
|a Telecommunication
|
| 653 |
|
|
|a Communications Engineering, Networks
|
| 653 |
|
|
|a Signal processing
|
| 653 |
|
|
|a Multimedia Information Systems
|
| 700 |
1 |
|
|a Boyd, John E.
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-3-319-19431-8
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-19431-8?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 621,382
|
| 520 |
|
|
|a This book examines real-time target tracking and identification algorithms with a focus on tracking an agile target. The authors look at several problems in which the tradeoff of accuracy and confidence must be made. These issues are explored within the context of specific tracking scenarios chosen to illustrate the tradeoffs in a simple and direct manner. The text covers the Gaussian wavelet estimator (GWE) which has a flexible architecture that is able to fuse uncommon sensor combinations with non-temporal structural constraints. · Discusses applied estimation and prediction of terrestrial targets · Covers fusion of heterogeneous sensor types and tracking with non-temporal engagement constraints · Examines confidence that the target will be captured and motion analysis of land vehicles
|