Scaling Video Analytics Systems to Large Camera Deployments-Reference-Cited by-同舟云学术

Scaling Video Analytics Systems to Large Camera Deployments

Published:2019-02-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications
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Author:

Jain Samvit¹,Ananthanarayanan Ganesh²,Jiang Junchen³,Shu Yuanchao²,Gonzalez Joseph¹

Affiliation:

1. University of California at Berkeley, Berkeley, CA, USA

2. Microsoft Research, Redmond, WA, USA

3. University of Chicago, Chicago, IL, USA

Funder

National Science Foundation (NSF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3301293.3302366

Reference40 articles.

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2. Kevin Abas etal 2014. Wireless smart camera networks for the surveillance of public spaces. IEEE Computer (2014). 10.1109/MC.2014.140 Kevin Abas et al. 2014. Wireless smart camera networks for the surveillance of public spaces. IEEE Computer (2014). 10.1109/MC.2014.140

3. Hamid Aghajan and Andrea Cavallaro. 2009. Multi-camera networks: principles and applications. Academic press. Hamid Aghajan and Andrea Cavallaro. 2009. Multi-camera networks: principles and applications. Academic press.

4. Amazon. 2017. AWS DeepLens. https://aws.amazon.com/deeplens/. Amazon. 2017. AWS DeepLens. https://aws.amazon.com/deeplens/.

5. Shayan M. Assari et al. 2016. Human Re-identification in Crowd Videos Using Personal Social and Environmental Constraints. In ECCV. Shayan M. Assari et al. 2016. Human Re-identification in Crowd Videos Using Personal Social and Environmental Constraints. In ECCV.

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