Proceedings of the 11th International Conference on Distributed Smart Cameras 2017
DOI: 10.1145/3131885.3131931
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The Future of Camera Networks

Abstract: Camera networks become smart when they can interpret video data on board, in order to carry out tasks as a collective, such as target tracking and (re-)identification of objects of interest. Unlike today's deployments, which are mainly restricted to lab settings and highly controlled high-value applications, future smart camera networks will be messy and unpredictable. They will operate on a vast scale, drawing on mobile resources connected in networks structured in complex and changing ways. They will compris… Show more

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Cited by 11 publications
(3 citation statements)
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References 56 publications
(57 reference statements)
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“…2 by increasing the number of filters from one to six, we observe a small increase on the number of BFLOPs from 0.002(1) BFLOPs to 0.009 (6) BFLOPs. By increasing the size of each filter from one to six we observe an increase from 0.002(1) BFLOPs to 0.057 (6) BFLOPs. This shows a significant impact on the performance.…”
Section: B Dronetmentioning
confidence: 79%
See 1 more Smart Citation
“…2 by increasing the number of filters from one to six, we observe a small increase on the number of BFLOPs from 0.002(1) BFLOPs to 0.009 (6) BFLOPs. By increasing the size of each filter from one to six we observe an increase from 0.002(1) BFLOPs to 0.057 (6) BFLOPs. This shows a significant impact on the performance.…”
Section: B Dronetmentioning
confidence: 79%
“…Additionally, this is limiting for applications processing private data, such as wearable biomedical devices, or wearable cameras [6]. Processing private user data at the edge could protect user privacy and avoid exposing the data to security threats by sending them to the cloud.…”
Section: Introductionmentioning
confidence: 99%
“…In [32], Esterle and Lewis rely on purely distributed approaches. They enable the individual robots to learn about their local environment, including other robots and analyse the potential of the topological neighbourhood of interaction.…”
Section: State Of the Art In Decentralised Omokcmentioning
confidence: 99%