About: Video Surveillance   Sponge Permalink

An Entity of Type : owl:Thing, within Data Space : 134.155.108.49:8890 associated with source dataset(s)

Many of the DHARMA stations seen so far appear to be hooked up to a video surveillance system. The reasons are widely unknown, but may be involved in psychological experiments and/or general video surveillance such as security.

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  • Video Surveillance
  • Video surveillance
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  • Many of the DHARMA stations seen so far appear to be hooked up to a video surveillance system. The reasons are widely unknown, but may be involved in psychological experiments and/or general video surveillance such as security.
  • There are many work done in this area even back to 20 years ago. But people are still working in this area. Most of them are computer vision researchers, working on the detection and tracking algorithms. Then, what can we do with these three cameras? Try out detection and tracking algorithms?
  • As police warn of a rising tide of gun violence, voters this week will get a chance to weigh in on whether Philadelphia should become the next big city to add public surveillance cameras to its crime-fighting arsenal. A referendum on the ballot in Tuesday's primary will ask voters whether they think the city's charter should be amended to allow officials to use video surveillance to fight crime and violence in a way that protects civil liberties and legitimate privacy interests. If this thing comes back 98 percent to 2 percent that we don't want them, then we won't do it, he said.
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  • Sublymonal2.JPG
  • HydraObservation.jpg
  • monitorbarrack.png
  • Swancamera.jpg
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  • 200(xsd:integer)
  • 400(xsd:integer)
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  • right
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  • Sublymonal code entry page
  • Benjamin Linus in the Hydra observation room
  • Monitors in the DHARMA security center. .
  • The active camera feed of the Swan, shown on the Pearl monitor
abstract
  • As police warn of a rising tide of gun violence, voters this week will get a chance to weigh in on whether Philadelphia should become the next big city to add public surveillance cameras to its crime-fighting arsenal. A referendum on the ballot in Tuesday's primary will ask voters whether they think the city's charter should be amended to allow officials to use video surveillance to fight crime and violence in a way that protects civil liberties and legitimate privacy interests. Proponents point out that surveillance video has aided several high-profile investigations, including the arrest of a man who fatally shot a hospital technician in Center City last year. But detractors say the ballot question is too open-ended and that the cameras themselves pose too many civil liberties concerns. City Councilman Darrell Clarke, who sponsored the proposal for the referendum, said he wanted to take the issue to the voters first. While officials are not looking for specific numbers in terms of ballot support, Clarke said, they want to be able to gauge public opinion as much as possible. If this thing comes back 98 percent to 2 percent that we don't want them, then we won't do it, he said. Clarke said he knows that the privacy issue is a big concern, but he wanted to see what sort of support there was for the idea before fleshing out the details. The city would have to establish standards about where the cameras would go, who would monitor them and how long recordings would be kept, Clarke said. Money is also a factor, as the cameras can cost up to $20,000 apiece.
  • Many of the DHARMA stations seen so far appear to be hooked up to a video surveillance system. The reasons are widely unknown, but may be involved in psychological experiments and/or general video surveillance such as security.
  • There are many work done in this area even back to 20 years ago. But people are still working in this area. Most of them are computer vision researchers, working on the detection and tracking algorithms. "Sensor Placement for Effective Coverage and Surveillance in Distributed Sensor Networks" aimed at optimizing the number of sensors and determining their placement to support distributed sensor networks. The optimization framework is probabilistic due to the uncertainty associated with sensor detections. The proposed algorithms are greedy. So good news is that we can try our placement algorithms in the setting of video surveillance, but the problem is the three cameras are already mounted on the roofs and it is not easy to move them or place a few more. Then, what can we do with these three cameras? Try out detection and tracking algorithms?
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