Author: Negm Eldin Mohamed Shawky
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659306938
Category :
Languages : en
Pages : 212
Book Description
In multi-target tracking system, data association and tracking filter are two basic parts of tracking objects. The choosing of data association technique to associate the track to the true target in noisy received measurements is an important key to overcome the issues of the tracking process. Many data association algorithms have been developed to be the most powerful techniques for these issues, but still there are disadvantages in their restricting assumptions, complexity and in the resulting performance. For these reasons, some of data association algorithms that are widely used have been studied. These algorithms have some issues during tracking in dense clutter environment, tracking a highly maneuvering targets and swapping in the presence of more background clutter and false signal. Then, these algorithms have been updated to overcome the issues, improve the performance, decrease the burden of the computational cost, decrease the probability of error and to give the targets the ability to continue tracking without failing.
Advanced Data Association Techniques in Multi-target Tracking System
Author: Negm Eldin Mohamed Shawky
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659306938
Category :
Languages : en
Pages : 212
Book Description
In multi-target tracking system, data association and tracking filter are two basic parts of tracking objects. The choosing of data association technique to associate the track to the true target in noisy received measurements is an important key to overcome the issues of the tracking process. Many data association algorithms have been developed to be the most powerful techniques for these issues, but still there are disadvantages in their restricting assumptions, complexity and in the resulting performance. For these reasons, some of data association algorithms that are widely used have been studied. These algorithms have some issues during tracking in dense clutter environment, tracking a highly maneuvering targets and swapping in the presence of more background clutter and false signal. Then, these algorithms have been updated to overcome the issues, improve the performance, decrease the burden of the computational cost, decrease the probability of error and to give the targets the ability to continue tracking without failing.
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659306938
Category :
Languages : en
Pages : 212
Book Description
In multi-target tracking system, data association and tracking filter are two basic parts of tracking objects. The choosing of data association technique to associate the track to the true target in noisy received measurements is an important key to overcome the issues of the tracking process. Many data association algorithms have been developed to be the most powerful techniques for these issues, but still there are disadvantages in their restricting assumptions, complexity and in the resulting performance. For these reasons, some of data association algorithms that are widely used have been studied. These algorithms have some issues during tracking in dense clutter environment, tracking a highly maneuvering targets and swapping in the presence of more background clutter and false signal. Then, these algorithms have been updated to overcome the issues, improve the performance, decrease the burden of the computational cost, decrease the probability of error and to give the targets the ability to continue tracking without failing.
Data Association Algorithms for Multiple Target Tracking
Multitarget-multisensor Tracking: Applications and advances
Author: Yaakov Bar-Shalom
Publisher:
ISBN:
Category : Radar
Languages : en
Pages : 474
Book Description
Publisher:
ISBN:
Category : Radar
Languages : en
Pages : 474
Book Description
Group-target Tracking
Author: Wen-dong Geng
Publisher: Springer
ISBN: 981101888X
Category : Technology & Engineering
Languages : en
Pages : 175
Book Description
This book describes grouping detection and initiation; group initiation algorithm based on geometry center; data association and track continuity; as well as separate-detection and situation cognition for group-target. It specifies the tracking of the target in different quantities and densities. At the same time, it integrates cognition into the application. Group-target Tracking is designed as a book for advanced-level students and researchers in the area of radar systems, information fusion of multi-sensors and electronic countermeasures. It is also a valuable reference resource for professionals working in this field.
Publisher: Springer
ISBN: 981101888X
Category : Technology & Engineering
Languages : en
Pages : 175
Book Description
This book describes grouping detection and initiation; group initiation algorithm based on geometry center; data association and track continuity; as well as separate-detection and situation cognition for group-target. It specifies the tracking of the target in different quantities and densities. At the same time, it integrates cognition into the application. Group-target Tracking is designed as a book for advanced-level students and researchers in the area of radar systems, information fusion of multi-sensors and electronic countermeasures. It is also a valuable reference resource for professionals working in this field.
Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking
Author: Grinberg, Michael
Publisher: KIT Scientific Publishing
ISBN: 3731507811
Category : Electronic computers. Computer science
Languages : en
Pages : 296
Book Description
This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.
Publisher: KIT Scientific Publishing
ISBN: 3731507811
Category : Electronic computers. Computer science
Languages : en
Pages : 296
Book Description
This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.
New Filtering and Data Association Algorithms for Multiple Target Tracking
Generalized Data Association for Multitarget Tracking in Clutter
Author: A. Tchamova
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 23
Book Description
The objective of this chapter is to present an approach for target track ing in cluttered environment, which incorporates the advanced concept of generalized data (kinematics and attribute) association (GDA) to improve track maintenance performance in complicated situations (closely spaced and/or crossing targets), when kinematics data are insufficient for correct decision making.
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 23
Book Description
The objective of this chapter is to present an approach for target track ing in cluttered environment, which incorporates the advanced concept of generalized data (kinematics and attribute) association (GDA) to improve track maintenance performance in complicated situations (closely spaced and/or crossing targets), when kinematics data are insufficient for correct decision making.
Track Association Using Sparse Data in Multi-target Tracking Systems
Efficient Data Association Algorithms for Multiple Target Tracking
Author: Xinliang Li
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 140
Book Description
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 140
Book Description
Multitarget Tracking in Clutter based on Generalized Data Association: Performance Evaluation of Fusion Rules
Author: J. Dezert
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 18
Book Description
The objective of this chapter is to present and compare different fusion rules which can be used for Generalized Data Association (GDA) for multitarget tracking (MTT) in clutter.
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 18
Book Description
The objective of this chapter is to present and compare different fusion rules which can be used for Generalized Data Association (GDA) for multitarget tracking (MTT) in clutter.