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Improve safety using public network cameras

  • Youngsol Koh
  • , Anup Mohan
  • , Guizhen Wang
  • , Hanye Xu
  • , Abish Malik
  • , Yung Hsiang Lu
  • , David S. Ebert

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Surveillance cameras, also called CCTV (closed-circuit television), are widely deployed as one of the solutions to improve public safety. The visual data from these cameras are usually unavailable to the public. In recent years, many organizations have deployed network cameras with diverse purposes such as monitoring traffic congestion and observing natural scenes. The data are available to anyone connected to the Internet, without any password. Although the cameras are not deployed for surveillance purposes, the cameras can be utilized to increase public safety by properly integrating to current surveillance systems. Suspicious activities may be monitored in real-Time and coverage can be increased along with CCTVs deployed by law enforcement. Integrating public cameras into a surveillance system has many challenges such as inaccurate locations, diverse sources, and different methods to access the visual data. This paper presents how to discover public cameras from heterogeneous sources and find the accurate locations and orientations of the cameras. We propose a proof-of-concept system to improve public safety by integrating public cameras into our previous visualization tool.

Original languageEnglish (US)
Title of host publication2016 IEEE Symposium on Technologies for Homeland Security, HST 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509007707
DOIs
StatePublished - Sep 14 2016
Externally publishedYes
Event2016 IEEE Symposium on Technologies for Homeland Security, HST 2016 - Waltham, United States
Duration: May 10 2016 → May 11 2016

Publication series

Name2016 IEEE Symposium on Technologies for Homeland Security, HST 2016

Conference

Conference2016 IEEE Symposium on Technologies for Homeland Security, HST 2016
Country/TerritoryUnited States
CityWaltham
Period5/10/16 → 5/11/16

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Safety Research
  • Computer Science Applications
  • Computer Networks and Communications
  • Law

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