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

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...