Watching live CCTV footage of thousands of people, trying to pick out any sort of noteworthy activity... it sounds like a very tedious, difficult job for a human being. That’s why researchers from Germany’s Fraunhofer Institute for Applied Information Technology are working on an electronic system that uses the principles of human motion vision to do the same job. It is part of the EU’s SEARISE project, which stands for Smart Eyes: Attending and Recognizing Instances of Salient Events.
We’ve told you before about CCTV programs that can identify criminal behavior
, or that skip through footage where nothing’s happening
. Now, a consortium of ten organizations from six European countries is working on another concept involving video monitoring of public spaces. It’s called the SUBITO project, for Surveillance of Unattended Baggage and the Identification and Tracking of the Owner, and it’s intended to do pretty much what the name suggests. Installed in existing security camera systems at places such as airports or train stations, the software will identify baggage that has been left unattended, and that could therefore possibly contain an explosive device. It will then search back to identify the person who deposited that baggage, then follow them forward through various cameras to establish their present location.
JVC has announced four new analog high-res CCTV cameras that it claims can produce accurate colors under extremely low light conditions. The new surveillance cams feature the company’s Super LoLux technology for sensitivity as low as 0.05 lux in color mode and 0.006 lux in black-and-white mode. JVC also claims these models use 40% less power making them more eco-friendly and cheaper to operate.
The negative impact surrounding terrorism, crime and anti-social behavior has resulted in an escalation in the amount of remote surveillance undertaken around the world, but especially in the UK, which, according to the Centre for Secure Information Technologies (CSIT), has deployed more than 4 million CCTV cameras. Putting aside privacy issues for another article, the increase in CCTV usage has had very little success in preventing crime. The main problem seems to lie in the amount of video captured versus the amount that can be viewed and interpreted by trained staff. To overcome these shortcomings, UK researchers are investigating the use of computer technology that recognizes suspicious behavior in live Internet-enabled CCTV feeds from buses and trains, allowing control room staff to intervene and protect drivers and passengers from assaults, thefts and other incidents.