Target coverage in camera networks for manufacturing workplaces

Hanoun, Samer, Bhatti, Asim, Creighton, Doug, Nahavandi, Saeid, Crothers, Phillip and Esparza, Celeste Gloria Esparza 2016, Target coverage in camera networks for manufacturing workplaces, Journal of intelligent manufacturing, vol. 27, no. 6, pp. 1221-1235, doi: 10.1007/s10845-014-0946-z.

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Title Target coverage in camera networks for manufacturing workplaces
Author(s) Hanoun, SamerORCID iD for Hanoun, Samer
Bhatti, AsimORCID iD for Bhatti, Asim
Creighton, DougORCID iD for Creighton, Doug
Nahavandi, SaeidORCID iD for Nahavandi, Saeid
Crothers, Phillip
Esparza, Celeste Gloria Esparza
Journal name Journal of intelligent manufacturing
Volume number 27
Issue number 6
Start page 1221
End page 1235
Total pages 15
Publisher Springer
Place of publication New York, N.Y.
Publication date 2016-12
ISSN 0956-5515
Keyword(s) camera network placement
camera networks
quality of coverage
simulated annealing
target coverage
Summary In this paper, we investigate the camera network placement problem for target coverage in manufacturing workplaces. The problem is formulated to find the minimum number of cameras of different types and their best configurations to maximise the coverage of the monitored workplace such that the given set of target points of interest are each k-covered with a predefined minimum spatial resolution. Since the problem is NP-complete, and even NP-hard to approximate, a novel method based on Simulated Annealing is presented to solve the optimisation problem. A new neighbourhood generation function is proposed to handle the discrete nature of the problem. The visual coverage is modelled using realistic and coherent assumptions of camera intrinsic and extrinsic parameters making it suitable for many real world camera based applications. Task-specific quality of coverage measure is proposed to assist selecting the best among the set of camera network placements with equal coverage. A 3D CAD of the monitored space is used to examine physical occlusions of target points. The results show the accuracy, efficiency and scalability of the presented solution method; which can be applied effectively in the design of practical camera networks.
Language eng
DOI 10.1007/s10845-014-0946-z
Field of Research 091005 Manufacturing Management
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Springer
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