A sparsity-driven approach to multi-camera tracking in visual sensor networks [PDF]
, 2013 In this paper, a sparsity-driven approach is presented for multi-camera tracking in visual sensor networks (VSNs). VSNs consist of image sensors, embedded processors and wireless transceivers which are powered by batteries. Since the energy and bandwidth
Çetin, Müjdat +3 more
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Tracking and Data Fusion for Ground Surveillance
, 2022 S.203-254Ground surveillance comprises track extraction and maintenance of single ground moving vehicles and convoys, as well as low-flying objects such as helicopters or unmanned aerial vehicles (UAVs).
Feldmann, M. +3 more
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Automatic maneuver detection and tracking of space objects in optical survey scenarios based on stochastic hybrid systems formulation [PDF]
, 2022 The state space representation of active resident space objects can be posed in the form of a stochastic hybrid system. Satellite maneuvers may be accounted for according to control cost or heuristical considerations, yet it is possible to jointly ...
Sanjurjo Rivo, Manuel +4 more
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, 2016 Despite the fact that personal privacy has become a major concern, surveillance technology is now becoming ubiquitous in modern society. This is mainly due to the increasing number of crimes as well as the essential necessity to provide secure and safer ...
Bouchrika, Imed +2 more
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Binary histogram based split/merge object detection using FPGAs [PDF]
, 2010 Tracking of objects using colour histograms has proven successful in various visual surveillance systems. Such systems rely heavily on similarity matrices to compare the appearance of targets in successive frames.
Hunter, A +7 more
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Multi-camera video surveillance for real-time analysis and reconstruction of soccer games
, 2010 Soccer analysis and reconstruction is one of the most interesting challenges for wide-area video surveillance applications. Techniques and system implementation for tracking the ball and players with multiple stationary cameras are discussed.
Orwell, James +6 more
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Profile driven dataflow optimisation of mean shift visual tracking [PDF]
, 2014 Profile guided optimisation is a common technique used by compilers and runtime systems to shorten execution runtimes and to optimise locality aware scheduling and memory access on heterogeneous hardware platforms.
Deepayan Bhowmik +11 more
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Tracking-Based Non-Parametric Background-Foreground Classification in a Chromaticity-Gradient Space
, 2010 This work presents a novel background-foreground classification technique based on adaptive non-parametric kernel estimation in a color-gradient space of components.
Narciso Garcia +3 more
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Tracking in Presence of Total Occlusion and Size Variation using Mean Shift and Kalman Filter [PDF]
, 2011 The classical mean shift algorithm for tracking in perfectly arranged conditions constitutes a good object tracking method. However, in the real environment it presents some limitations, especially under the presence of noise, objects with varying size ...
MIRZAEI, Mohammad Ali +2 more
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Soft computing and non-parametric techniques for effective video surveillance systems [PDF]
, 2008 Esta tesis propone varios objetivos interconectados para el diseño de un sistema de vídeovigilancia cuyo funcionamiento es pensado para un amplio rango de condiciones.
Pérez Concha, Óscar
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