@inproceedings{zhang2015the,
author = {Zhang, Tan and Chowdhery, Aakanksha and Bahl, Victor and Jamieson, Kyle and Banerjee, Suman},
title = {The Design and Implementation of a Wireless Video Surveillance System},
booktitle = {MobiCom '15},
year = {2015},
month = {September},
abstract = {Internet-enabled cameras pervade daily life, generating a huge amount of data, but most of the video they generate is transmitted over wires and analyzed offline with a human in the loop. The ubiquity of cameras limits the amount of video that can be sent to the cloud, especially on wireless networks where capacity is at a premium. In this paper, we present Vigil, a real-time distributed wireless surveillance system that leverages edge computing to support real-time tracking and surveillance in enterprise campuses, retail stores, and across smart cities. Vigil intelligently partitions video processing between edge computing nodes co-located with cameras and the cloud to save wireless capacity, which can then be dedicated to Wi-Fi hotspots, offsetting their cost. Novel video frame prioritization and traffic scheduling algorithms further optimize Vigil’s bandwidth utilization. We have deployed Vigil across three sites in both whitespace and Wi-Fi networks. Depending on the level of activity in the scene, experimental results show that Vigil allows a video surveillance system to support a geographical area of coverage between five and 200 times greater than an approach that simply streams video over the wireless network. For a fixed region of coverage and bandwidth, Vigil outperforms the default equal throughput allocation strategy of Wi-Fi by delivering up to 25% more objects relevant to a user’s query.},
url = {http://approjects.co.za/?big=en-us/research/publication/design-implementation-wireless-video-surveillance-system/},
isbn = {978-1-4503-3619-2/15/09},
edition = {MobiCom '15},
}