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1986 American Control Conference, 1986
The minimum time of detection as well as the track accuracy (time/accuracy profile) of a maneuvering target in an adaptive tracking system is consider. The maneuver detection schemes considered are the optimal stopping (OS), residual squared (RS) error, and direct acceleration estimation (DAE) algorithms. The transition-into-track considers optimal two
P.R. Kalata +2 more
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The minimum time of detection as well as the track accuracy (time/accuracy profile) of a maneuvering target in an adaptive tracking system is consider. The maneuver detection schemes considered are the optimal stopping (OS), residual squared (RS) error, and direct acceleration estimation (DAE) algorithms. The transition-into-track considers optimal two
P.R. Kalata +2 more
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High-performance target tracking scheme with low prediction precision requirement in WSNs
International Journal of Ad Hoc and Ubiquitous Computing, 2018Tracking mobile target is one of the most important applications in wireless sensor networks (WSNs) for surveillance system. Researchers heavily believe that: selecting proactive nodes in the region where the target may arrive in the next moment can ...
Anfeng Liu, Shaona Zhao
semanticscholar +1 more source
2012 International Conference on Image Analysis and Signal Processing, 2012
In recent years, target tracking based on Computer Vision has been used in a variety of fields. Since in most cases, motion targets are non-linear and non-gauss model, tracking algorithms based on the Kalman theory usually cannot obtain a convergent filtering result, or they cannot track the target well.
Xiong Wei-Wei +5 more
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In recent years, target tracking based on Computer Vision has been used in a variety of fields. Since in most cases, motion targets are non-linear and non-gauss model, tracking algorithms based on the Kalman theory usually cannot obtain a convergent filtering result, or they cannot track the target well.
Xiong Wei-Wei +5 more
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Cognition in radar target tracking
2017This chapter has been devoted to the design of a tracker exploiting cognition at multiple levels. Specifically, environmental maps and characteristics of the targets, available in the dynamic database possibly learned from the feedback channel, have been used to gain improved tracking performance in a multiple targets scenario exploiting measurements ...
De Maio, A. +4 more
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Tracking, targeting, and conserving soil biodiversity
Science, 2021A monitoring and indicator system can inform ...
Guerra, C.A. +28 more
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A Directed Sparse Graphical Model for Multi-target Tracking
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018We propose a Directed Sparse Graphical Model (DSGM) for multi-target tracking. In the category of global optimization for multi-target tracking, traditional approaches have two main drawbacks.
M. Ullah, F. A. Cheikh
semanticscholar +1 more source
Distributed target tracking [PDF]
Conference Proceedings '88., IEEE Southeastcon, 2003 A decentralized tracking technique of a target in clutter is discussed. The coordinator must reconstruct the trajectory of a moving object based on the return histories of N geographically distributed sensors. The coordinator can only access the (local) statistics produced by local processing of the sensors' return histories, not the sensors' returns ...
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Survey of maneuvering target tracking. Part I. Dynamic models
, 2003This is the first part of a comprehensive and up-to-date survey of the techniques for tracking maneuvering targets without addressing the so-called measurement-origin uncertainty.
X. Li, V. Jilkov
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Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics, 2002
The neural data association (DA) process during apparent motion perception in the human visual system is investigated and principles of the associated process are examined. From the theory of human motion perception, a novel DA algorithm was developed and the algorithm was applied to the DA problem arising in radar target tracking.
Bahram Shafai, K. Kim
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The neural data association (DA) process during apparent motion perception in the human visual system is investigated and principles of the associated process are examined. From the theory of human motion perception, a novel DA algorithm was developed and the algorithm was applied to the DA problem arising in radar target tracking.
Bahram Shafai, K. Kim
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AN APPROACH TO TARGET TRACKING [PDF]
, 1967 Abstract : The report presents an approach to point target tracking based on sequential filtering techniques. The tracking problem is defined in terms of a nonlinear vector differential equation and an appropriate state vector. A bayesian formulation for the problem is selected which results in a least- squares filter solution. Linearization techniques
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