The next-generation video game console is getting a little more privacy-conscious.
The Electronic Entertainment Expo (E3) in Los Angeles this year featured a new set of hardware features designed to help gamers detect hidden camera cameras, according to a new research paper published by the University of California, Santa Barbara.
The researchers say that when a video game character or other object moves in the background, the software will show that this was a “hidden camera.”
It will also detect hidden microphones, a new feature found on most game consoles and used to detect motion.
The research, published online by the journal IEEE Transactions on Pattern Recognition, shows that hidden cameras have a strong impact on the performance of video game audio, text, and image processing.
The researchers say this could have a significant impact on video game players’ experience.
The study found that a simple move in the game environment could have the potential to increase a player’s chances of detecting a hidden camera, and that a player with a strong visual identification can improve the performance and reliability of the system.
The team included researchers from the University at Buffalo, University of Rochester, and University of Illinois.
The paper describes how video game characters can be detected by the software in ways that were previously impossible.
For example, in some games, a character might be in the foreground or the background.
The hidden camera detection method used in this study, which is similar to the method used for detecting motion-detecting microphones in video games, was able to detect these hidden cameras, said lead author Dr. Paul Cappelli, a postdoctoral researcher in the department of computer science and engineering at UB.
The system is called the Hidden Camera Detection (HCD) detector.
Cappelli’s research focuses on the hidden camera effect in video gaming.
The HCD detector is an optical signal used to locate hidden cameras that are often used to obscure motion in video footage.HCD detectors have a range of capabilities, and the researchers say the Hidden Cameras Detection (HCD) detector can detect hidden objects and microphones.
HCD detectors can also detect motion in games and text, but the hidden cameras detection method does not rely on motion detection, which means it is better suited to games.
The Hidden Camerases Detection ( HCD ) detector was built on top of a new computer vision technology that helps detect motion and other features in video scenes, and can also provide real-time motion detection.
“This system has been built on the basis of a high-performance quantum dot (QD) based on two-dimensional information, a quantum bit and a single-qubit quantum dot, as well as an approach that focuses on non-locality,” Cappelli said in a statement.
“The combination of the two allows for a highly effective detection, especially in the case of motion detection,” he added.CAPPELLI, the paper’s co-authors are Michael Bode, a former undergraduate student in Cappello’s lab; and Mark Zebrowitz, a research assistant professor in Capps labs.
The research was funded by a NASA Research Center grant to Zebrowski.
The paper was published in IEEE Transactions of the Royal Society A.
