TY - GEN
T1 - Improve safety using public network cameras
AU - Koh, Youngsol
AU - Mohan, Anup
AU - Wang, Guizhen
AU - Xu, Hanye
AU - Malik, Abish
AU - Lu, Yung Hsiang
AU - Ebert, David S.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/14
Y1 - 2016/9/14
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84991810116
UR - https://www.scopus.com/pages/publications/84991810116#tab=citedBy
U2 - 10.1109/THS.2016.7568911
DO - 10.1109/THS.2016.7568911
M3 - Conference contribution
AN - SCOPUS:84991810116
T3 - 2016 IEEE Symposium on Technologies for Homeland Security, HST 2016
BT - 2016 IEEE Symposium on Technologies for Homeland Security, HST 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Symposium on Technologies for Homeland Security, HST 2016
Y2 - 10 May 2016 through 11 May 2016
ER -