Socio-economic vision graph generation and handover in distributed smart camera networks
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21486681
- Type
- D - Journal article
- DOI
-
10.1145/2530001
- Title of journal
- ACM Transactions on Sensor Networks
- Article number
- 20
- First page
- -
- Volume
- 10
- Issue
- 2
- ISSN
- 1550-4859
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
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A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 38
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper applied principles from economics and computational intelligence to the decentralised control of adaptive camera networks. Compared to existing techniques, this removed the need for time-consuming calibration processes. The technique led to a Marie Slodowska Curie Fellowship for Dr. Lukas Esterle (SOLOMON, no. 705020), release of the open-source tool CamSim (https://github.com/EPiCS/CamSim), and a new collaboration with world-leading camera manufacturer Edesix (a partner on the SOLOMON project, now part of Motorola), including a publication (DOI: 10.1145/3131885.3131931) with the MD of Edesix.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
