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Group-target Tracking.

Author: Wen-dong Geng; Yuan-qin Wang; Zheng-hong Dong; Ge Geng; Fan Yang
Publisher: Singapore : Springer Singapore, 2016.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

This book describes grouping detection and initiation; At the same time, it integrates cognition into the application.Group-target Tracking is designed as a book for advanced-level students and  Read more...

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Geng, Wen-dong.
Group-target Tracking.
Singapore : Springer Singapore, ©2016
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Wen-dong Geng; Yuan-qin Wang; Zheng-hong Dong; Ge Geng; Fan Yang
ISBN: 9789811018886 981101888X
OCLC Number: 960166036
Notes: 6.4.1 Observation Data and Track Combination Algorithm Based on Association Gate Principles.
Description: 1 online resource (175 pages)
Contents: Preface; Contents; Abstract; 1 Introduction; 1.1 Foreword; 1.2 Target Tracking Overview; 1.2.1 STT Profile; 1.2.2 MTT Profile; 1.2.3 Data Fusion Profile; 1.2.4 Formation Target Tracking Profile; 1.2.5 Typical Target Tracking System; 1.3 Group-Target Tracking Theory; 1.3.1 Background for the Emergence of Group-Target Tracking; 1.3.2 Formation of the Group-Target Tracking Theory; 1.3.3 Group-Target Concept and Connotation; 1.3.4 Group-Target Tracking Theory; 1.3.5 Application Prospect of Group-Target Tracking; 1.4 Scope and Profile; 1.5 Summary; 2 Preliminaries; 2.1 Common Glossary. 2.2 Kalman Filtering2.2.1 Filter Description; 2.2.2 Filtering Models; 2.2.3 Summary of Filtering and Prediction Models; 2.3 Target Motional Models; 2.3.1 Problem Description; 2.3.2 Basic Motional Model; 2.4 Basic Algorithms for Multi-Target Tracking; 2.4.1 Review; 2.4.2 The Nearest-Neighboring Association Algorithm; 2.4.3 The Probabilistic Data Association Algorithm; 2.4.4 The Joint Probabilistic Data Association Algorithm; 2.4.5 Generalized Probabilistic Data Association Algorithm; 2.5 Summary; 3 Grouping Detection and Group Initiation of Group-Target; 3.1 Introduction. 3.2 Algorithm of Group-Target Grouping Detection3.2.1 Analysis of Formation Target Grouping Method; 3.2.2 Target Distance Principle for Group-Target Formation; 3.2.3 Grouping Detection Based on Observation Data; 3.3 Group Initiation Based on Geometric Centers of Group-Targets; 3.3.1 Analysis of Formation Target Track Initiation; 3.3.2 Group Initiation Based on Geometric Centers; 3.4 Summary; 4 Single-Group-Target Data Association and Track Maintenance; 4.1 Introduction; 4.2 Association Gates and Tracking Gates of Group-Targets; 4.2.1 Group-Target Tracking Gates. 4.2.2 Group-Target Tracking Gates4.3 The Nearest-Neighboring and All-Neighboring Association Algorithm for Single-Group-Target; 4.3.1 Computation of Group-Target Measurement Weights; 4.3.2 Single-Group-Target Data Association Algorithm; 4.4 Summary; 5 Multi-Group-Target Data Association and Track Maintenance; 5.1 Introduction; 5.2 Idea of Double Multi-Multi-Correspondence of Multi-Group-Target Data Association; 5.3 Construction of Intersecting Detection Matrix of Multi-Group-Target Association Gates; 5.4 Construction of Splitting Detection Matrix of Multi-Group-Target Common Measurements. 5.5 Computation of Multi-Group-Target Combination Association Probability and Equivalent Measurement5.6 Summary; 6 Detection of Group-Target Combination and Splitting and Situation Cognition; 6.1 Introduction; 6.2 Group-Target Maneuver Description; 6.3 Analysis of Formation Target Combination and Splitting Detection Method; 6.3.1 Formation Target Combination and Splitting Detection Method Based on Marginal Tracks; 6.3.2 Formation Target Combination and Splitting Detection Method Based on Target Distance; 6.4 Group-Target Combination Algorithm.

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