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Traditional surveillance cameras can only record people's behavior and seem to be "fool-like." If you are monitoring a security camera for you, is it amazing to be able to predict what you are going to do next?
Hasn’t Carnegie Mellon’s research team recently announced that their computer monitoring software can predict people’s behavior? Computer software can detect and report the unlawful actions that criminals are about to make. It can largely replace the current labor cost and do not rely solely on people watching the monitor screen.
Two researchers at Carnegie Mellon University in the United States announced details of their project this week. The U.S. government has already invested in the project called Automatic Video Surveillance Technology in order to truly be able to live in the future. Apply this technique to predict people's behavior.
Alessandro Oltramari, a postdoctoral researcher at Carnegie Mellon University who received his doctoral degree from the University of Trento, Italy, said to the media yesterday: “The main purpose of this program is video surveillance, and civilian military use is acceptable.â€
Oltramari and another researcher, Christian Lebiere, said that automatic video surveillance technology allows cameras to detect many suspicious behaviors. Placing these cameras in places such as airport bus stops can effectively reduce the impact of crime. "On certain special occasions, our system can provide detection of abnormal behavior," Oltramari said.
Imagine a large number of such surveillance cameras, and install software that uses this technology, real-time monitoring of every move in public places, and timely seizing unlawful actions by lawless elements. The cost is much lower than the amount of manpower required to personally monitor the screen. Resources, not to mention people can't keep an eye on the screen all the time, always miss some unexpected situations. Just used properly, this technology can completely protect the privacy of citizens.
Researchers submitted to this week’s document submitted by the National Defense Security Conference’s semantic technologies: “Their systems provide detection and capabilities similar to human visual intelligence in detection.†Oltramari and Lebiere are studying It is stated that their project will be sustainable and will at least be more advanced than the ones that can only recognize the current unlawful acts. They said that the next step would be to realize the prediction of behavior.
In the previous decades, machine vision project researchers have finally achieved the function of identifying static and moving objects and their characteristics through unremitting efforts. Now, this kind of technology is a large step that intersects past research. Technically speaking, machine vision and Google's self-driving car are the same, similar technology is also used in Facebook and Picasa's face recognition, and Microsoft Kinect peripheral electronic products.
Machine vision can identify people and objects, but it requires computer science to really identify what the object is doing and whether it is allowed to do it. This is what researchers at Oltramari and Lebiere and other Carnegie Mellon universities are currently working on. They call it a "cognitive engine" and can identify what the subject is doing according to certain rules. Complementary applications of vision and computer science.
The cognitive engine research project was guided by the postdoctoral team Kris Ktani. The team's research focused on figuring out what people would do next by comprehensively calculating the physical trajectories of people's movements. They said that their software can simulate the impact of the physical environment on human action choices.
Both projects are part of the "Mind's Eyearchitacture" architecture of Carnegie Mellon University. This project was established by the US Department of Defense Advanced Research Projects Agency. The goal of the research is to use machine vision intelligence to develop smart cameras. Oltramari said: "Our project will help further the development of automated video surveillance, and civilian military fields will come in handy."