Results 111 to 120 of about 1,309 (169)
Self-correcting Bayesian target tracking [PDF]
, 2015 The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the authorAbstract Visual tracking, a building block for many applications, has challenges ...
Biresaw, Tewodros Atanaw
core
Information measures in distributed multitarget tracking.
, 2011 In this paper, we consider the role that different information measures play in the problem of decentralised multi-target tracking. In many sensor networks, it is not possible to maintain the full joint probability distribution and so suboptimal algorithms must be used.
Uney, Murat; id_orcid 0000-0001-6561-0406 +2 more
openaire +2 more sources
Multitarget List Viterbi Tracking Algorithm
, 2007 In this paper we present an approach to multitarget tracking algorithm development. The approach is based on a trellis diagram which depicts the possible progressions of sequences of location measurements over time.
Kevin Buckley +2 more
core
Multitarget tracking through conditional probability estimation
, 2012 Multitarget tracking is a challenging problem with a wide range of applications. Often this problem is approached through a tracking-by-detection framework in which a classifier is trained to distinguish the target of interest from all other objects. The
Aeschliman, Chad M
core
Introduction to the issue on multitarget tracking
IEEE Journal of Selected Topics in Signal Processing, 2013 Multitarget tracking has a long history spanning over 50 years and it refers to the problem of jointly estimating the number of targets and their states from sensor data. Today, multitarget tracking has found applications in diverse disciplines, including, air traffic control, intelligence, surveillance, and reconnaissance (ISR), space applications ...
Mahendra Mallick +3 more
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Consensus CPHD Filter for Distributed Multitarget Tracking
IEEE Journal on Selected Topics in Signal Processing, 2013The paper addresses distributed multitarget tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. The contribution has been to develop a novel consensus Gaussian Mixture-Cardinalized Probability Hypothesis Density (GM-CPHD) filter that provides a fully distributed, scalable ...
Giorgio Battistelli +2 more
exaly +4 more sources
Message Passing Algorithms for Scalable Multitarget Tracking
Proceedings of the IEEE, 2018 Situation-aware technologies enabled by multitarget tracking will lead to new services and applications in fields such as autonomous driving, indoor localization, robotic networks, and crowd counting.
Florian Meyer +2 more
exaly +3 more sources
“Statistics 102” for Multisource-Multitarget Detection and Tracking
IEEE Journal on Selected Topics in Signal Processing, 2013 This tutorial paper summarizes the motivations, concepts and techniques of finite-set statistics (FISST), a system-level, 'top-down,' direct generalization of ordinary single-sensor, single-target engineering statistics to the realm of multisensor ...
Ronald Mahler
exaly +2 more sources
Optical track initiator for multitarget tracking
Applied Optics, 1988An optical processor for multitarget track initiation is presented. It uses the Hough transform to detect target tracks in a fixed time independent of the number of tracks present. In new results, we describe how the system produces target position and velocity estimates in linear time (with the number of targets). Tests of the system are presented for
D P, Casasent, J, Slaski
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Multisensor-multitarget tracking testbed
2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2009In this paper we present a multisensor-multitarget tracking testbed for large-scale distributed scenarios. The objective is to develop a testbed capable of handling multiple, heterogeneous sensors in a hierarchical architecture for maritime surveillance. The testbed consists of a scenario generator that can generate simulated data from multiple sensors
David Akselrod +4 more
openaire +1 more source