Modeling Coverage in Camera Networks: A Survey

• Published in: International journal of computer vision Vol. 101; no. 1; pp. 205 - 226
• Main Authors: Mavrinac, Aaron, Chen, Xiang
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.01.2013; Springer; Springer Nature B.V
• Subjects: 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
• DOI: 10.1007/s11263-012-0587-7

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.