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Development of a multitarget tracking system for paramecia
Review of Scientific Instruments, 2010This investigation develops a multitarget tracking system for the motile protozoa, paramecium. The system can recognize, track, and record the orbit of swimming paramecia within a 4 mm diameter of a circular experimental pool. The proposed system is implemented using an optical microscope, a charge-coupled device camera, and a software tool, Laboratory
Yu-Sing, Yeh +4 more
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Joint Navigation and Multitarget Tracking in Networks
2018 IEEE International Conference on Communications Workshops (ICC Workshops), 2018Situational-awareness provided by navigation and multitarget tracking (MTT) will change services and applications for modern convenience, public safety, and the military. This paper presents a Bayesian method for joint navigation and MTT in mobile agent networks, where the joint inference is performed through a factor graph formulation.
Florian Meyer, Moe Z. Win
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Multitarget Moments and their Application to Multitarget Tracking
2001Abstract : The concept of a "statistical moment" has played a fundamental role in practical single-target tracking. The optimal tracking approach, the recursive Bayes filter, propagates the entire posterior density through time. Because this filter is computationally daunting, most practical single-target tracking approaches assume that signal-to-noise
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Multitarget Multisensor Tracking
2014Abstract Multitarget-Multisensor tracking is a category of widely used techniques that are applicable to fields like air traffic control, air/ground/maritime surveillance, transportation, video monitoring and biomedical imaging/signal processing. In this chapter, various multitarget-multisensor tracking algorithms to handle state estimation, data ...
X. Chen, R. Tharmarasa, T. Kirubarajan
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Multitarget-tracking optical processing system
Applied Optics, 1994We consider multitarget tracking, estimating the state vector (two-dimensional position and velocity) of each target from physical measurements. We consider a full system for this and the role for analog optical processing within its subsystems. We emphasize the neural network data-association subsystem (which associates measurements in the present ...
D, Casasent, M, Yee
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Toward an Optimal Solution for Multitarget Tracking
2007 IEEE International Conference on Image Processing, 2007There are ever increasing number of applications of multi-target tracking and considerable research has been conducted to solve this problem. Multi-target tracking is a NP-hard problem and almost all of the present multi-target tracking algorithms are sub-optimal by finding the solution in a reduced hypothesis space.
Nezamoddin Nezamoddini-Kachouie +1 more
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Multitarget Tracking with Doppler Ambiguity [PDF]
Master of Applied Science (MASc)
Li, Kaibing
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Probabilistic tracking in a multitarget environment
1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes, 1978This paper describes a new technique for probabilistic tracking in a multitarget, multi-sensor environment. The technique uses the doubly stochastic matrix as a basic structure for storing and manipulating data whose associations are ambiguous. A doubly stochastic matrix is a fuzzy mapping which represents the probabilistic associations between finite ...
F. Witte, D. Lucas
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Multitarget multisensor tracking
2015Dans cette thèse nous développons différents algorithmes de pistage multicible qui peuvent traiter les mesures d'un ou plusieurs capteurs. Les filtres sont obtenus par application approximative du filtre de Bayes récursif dans le contexte d'ensemble fini aléatoire, contexte qui est utilisé pour modélisé les états et les observations.
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A unifying approach to multitarget tracking
IEEE Transactions on Aerospace and Electronic Systems, 1989A description is given of a global modeling approach developed for the multitarget tracking (MTT) problem. From a global modeling of this problem, both data association (DA) and maneuver estimation problems can be simultaneously solved using system identification techniques.
E. Emre, J.H. Seo
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