The future of camera networks: staying smart in a chaotic world

Lukas Esterle, Peter Lewis, Xin Yao, Richie McBride

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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-)identi cation 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 comprise heterogeneous and decentralised aggregations of visual sensors, which will come together in temporary alliances, in unforeseen and rapidly unfolding scenarios. The potential to include and harness citizen-contributed mobile streaming, body-worn video, and robot- mounted cameras, alongside more traditional xed or PTZ cameras, and supported by other non-visual sensors, leads to a number of di cult and important challenges. In this position paper, we discuss a variety of potential uses for such complex smart camera networks, and some of the challenges that arise when staying smart in the presence of such complexity. We present a general discussion on the challenges of heterogeneity, coordination, self-recon gurability, mobility, and collaboration in camera networks.
Original languageEnglish
Title of host publication11th International Conference on Distributed Smart Cameras
Number of pages6
ISBN (Electronic)978-1-4503-5487-5
DOIs
Publication statusE-pub ahead of print - 7 Sep 2017
Event11th International Conference on Distributed Smart Cameras - Stanford University, Palo Alto, United States
Duration: 5 Sep 20177 Oct 2017

Conference

Conference11th International Conference on Distributed Smart Cameras
CountryUnited States
CityPalo Alto
Period5/09/177/10/17

Fingerprint

Cameras
Sensors
Target tracking
Agglomeration
Positive ions
Robots

Bibliographical note

Copyright: The authors

Cite this

Esterle, L., Lewis, P., Yao, X., & McBride, R. (2017). The future of camera networks: staying smart in a chaotic world. In 11th International Conference on Distributed Smart Cameras https://doi.org/10.1145/3131885.3131931
Esterle, Lukas ; Lewis, Peter ; Yao, Xin ; McBride, Richie. / The future of camera networks: staying smart in a chaotic world. 11th International Conference on Distributed Smart Cameras. 2017.
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Esterle, L, Lewis, P, Yao, X & McBride, R 2017, The future of camera networks: staying smart in a chaotic world. in 11th International Conference on Distributed Smart Cameras. 11th International Conference on Distributed Smart Cameras, Palo Alto, United States, 5/09/17. https://doi.org/10.1145/3131885.3131931

The future of camera networks: staying smart in a chaotic world. / Esterle, Lukas; Lewis, Peter; Yao, Xin; McBride, Richie.

11th International Conference on Distributed Smart Cameras. 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Esterle L, Lewis P, Yao X, McBride R. The future of camera networks: staying smart in a chaotic world. In 11th International Conference on Distributed Smart Cameras. 2017 https://doi.org/10.1145/3131885.3131931