Modeling Coverage in Camera Networks: A Survey

Modeling the coverage of a sensor network is an important step in a number of design and optimization techniques. The nature of vision sensors presents unique challenges in deriving such models for camera networks. A comprehensive survey of geometric and topological coverage models for camera networ...

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Vydané v:International journal of computer vision Ročník 101; číslo 1; s. 205 - 226
Hlavní autori: Mavrinac, Aaron, Chen, Xiang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Boston Springer US 01.01.2013
Springer
Springer Nature B.V
Predmet:
Algorithms
Analysis
Applied sciences
Artificial Intelligence
Calibration
Cameras
Computer Imaging
Computer Science
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Computer vision
Correspondence
Exact sciences and technology
Image Processing and Computer Vision
Linear programming
Machine vision
Mathematical models
Mathematical optimization
Network topologies
Networks
Optimization
Optimization techniques
Pattern Recognition
Pattern Recognition and Graphics
Pattern recognition. Digital image processing. Computational geometry
Registration
Sensors
Software
Studies
Surveys
Topology
Vision
Wireless networks
Camera networks
Coverage geometry
Coverage topology
Calibration
Sensor planning
Computer vision
Video cameras
Review
Topology
Modeling
Geometrical model
Optimization
Treatment
Sensor array
ISSN:0920-5691, 1573-1405
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Popis
Shrnutí:Modeling the coverage of a sensor network is an important step in a number of design and optimization techniques. The nature of vision sensors presents unique challenges in deriving such models for camera networks. A comprehensive survey of geometric and topological coverage models for camera networks from the literature is presented. The models are analyzed and compared in the context of their intended applications, and from this treatment the properties of a hypothetical inclusively general model of each type are derived.
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ISSN:0920-5691
1573-1405
DOI:10.1007/s11263-012-0587-7