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Distributed robust subspace tracking
2015 23rd European Signal Processing Conference (EUSIPCO), 2015In this paper, a distributed, set-theoretic based subspace tracking scheme is presented. In particular, each one of the agents in the network has access to a subset of data, which are not allowed to be shared among them. Moreover, the data vectors lie on a low-rank linear subspace, which is unknown and it might also be time-varying.
Yannis Kopsinis +2 more
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Consensus-Based Distributed Multitarget Tracking with Probabilistic Track-to-Track Association
2020 European Control Conference (ECC), 2020In this paper a novel consensus algorithm for distributed multi-sensor multi-target tracking is proposed, adaptive in the context of sensors having limited sensing range in a cluttered environment. The algorithm is composed of two consensus schemes working in parallel; it assumes intersensor communication of target state estimates, together with ...
Srdjan S. Stankovic +2 more
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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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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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Real-Time Distributed Tracking
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007Distributed smart cameras use distributed computing architectures to analyze imagery from physically distributed cameras. Performing real-time distributed analysis of video introduces substantial new challenges, but also provides substantial benefits over server-based approaches.
Wayne Wolf +4 more
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Distributed Average Tracking in Distributed Convex Optimization
2020The aim of this chapter is to show the usefulness of distributed average tracking in distributed continuous-time time-varying optimization which is of great significance in motion coordination.
Fei Chen, Wei Ren
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Distributed tracking in multistatic sonar
IEEE Transactions on Aerospace and Electronic Systems, 2005This paper develops centralized and distributed tracker performance models that account for the fading detection performance that is common in active sonar contact data. We apply centralized and distributed tracking algorithms to simulated active sonar data that exhibits detection fading, and compare tracking performance to that predicted by the ...
S. Coraluppi, C. Carthel
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2002
One of the positive qualities associated with mobile computation is that it provides a flexible setting for sharing computational resources. A piece of code can move towards a site which hosts the resources it aims to exploit. Input/output devices, file systems, network, memory and processing power (CPU cycles) are typical examples of shared resources ...
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One of the positive qualities associated with mobile computation is that it provides a flexible setting for sharing computational resources. A piece of code can move towards a site which hosts the resources it aims to exploit. Input/output devices, file systems, network, memory and processing power (CPU cycles) are typical examples of shared resources ...
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Distributed real-time soccer tracking
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks, 2004Tracking objects that take part in sportive events is a challenging task because the objects move fast and occlusions occur frequently. When the tracked area is large, the use of more than one high resolution cameras improve accuracy, but leads to a huge amount of data to be processed and fused.
Bruno Müller, Ricardo de Oliveira Anido
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Zero-tracking time-frequency distributions
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002The zero-tracking time-frequency distribution (TFD) is introduced. The local autocorrelation function of the TFD, defined by an appropriate kernel, is used to form a polynomial whose roots correspond to the instantaneous frequencies of the multicomponent signal. Two techniques for zero-tracking based on the TFD are presented.
null Chenshu Wang, M.G. Amin
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Distributed and Decentralized Multicamera Tracking
IEEE Signal Processing Magazine, 2011We discussed emerging multicamera tracking algorithms that find their roots in signal processing, wireless sensor networks, and computer vision. Based on how cameras share estimates and fuse information, we classified these trackers as distributed, decentralized, and centralized algorithms.
Murtaza Taj, Andrea Cavallaro
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