Aug 28, 2017 CCTV + Lip-Reading Software = Even Less Privacy, Even More. Lip-reading CCTV software could soon be used to capture. Automated lip-reading isn't. That might have been science fiction, but 15 years after the events of that film, researchers in the real world have finally taught computers how to read lips. LipNet, developed by researchers at the University of Oxford Computer Science Department, isn’t the first software. Scientists at the University of East Anglia in Norwich, England, are working on the next stage of automated lip reading technology that could be used for deciphering speech from video surveillance footage. The visual speech recognition technology, created by Dr. Helen Bear and Professor Richard Harvey of UEA’s School of Computing Sciences, can be applied “any place where the audio isn’t good enough to determine what people are saying,” says Dr. ![]() Automated Lip Reading SoftwareTraining system to recognise lip movements She says that unique problems with determining speech arise when sound isn’t available – such as on CCTV footage – or if the audio is inadequate and there aren’t clues to give context to the conversation. The technology can also be used where there is audio but it is difficult to pick up because of ambient noise, such as in cars and aircraft. The technology uses deep neural networks that “learn” the way people move their lips, explains Professor Harvey. Researchers “train” the system using one person’s lip movements, then test it on another person’s lip movements. The team has a database of 12 people at the moment, using a list of around 1,000 words. This produces a success rate of 80 percent with a single speaker, and 60 percent with two different speakers. An element of language modelling is also used to train the computer to recognise the context of words spoken. Challenges of lip reading CCTV “Lip-reading is one of the most challenging problems in artificial intelligence, so it’s great to make progress on one of the trickier aspects, which is how to train machines to recognise the appearance and shape of human lips,” says Harvey. “CCTV is still a challenge – there’s lots of stuff working against you. For example, on most CCTV footage the lips are quite small and frame rates are low. But an easier application could be, for example, to enhance messages sent over radio by a security guard.” Of course, most CCTV systems do not include audio, in part due to privacy and data protection laws, which tend to limit the use of audio except in specific circumstances. The research was part of a three-year project and was supported by the Engineering and Physical Sciences Research Council. The research paper, Decoding Visemes: Improving Machine Lip-Reading, was presented at the IEEE International Conference on Acoustics, Speech and Signal Processing in Shanghai last month. SourceSecurity.com’s most trafficked articles in 2017 reflected changing trends in the market, from facial detection to drones, from deep learning to body worn cameras. Again in 2017, the most well-trafficked articles posted at SourceSecurity.com tended to be those that addressed timely and important issues in the security marketplace. In the world of digital publishing, it’s easy to know what content resonates with the market: Our readers tell us with their actions; i.e., where they click. Let’s look back at the Top 10 articles posted at SourceSecurity.com in 2017 that generated the most page views. They are listed in order here with the author’s name and a brief excerpt. MOBOTIX is increasingly positioning itself as a specialist in high-quality IP surveillance software 1. MOBOTIX Aims High with Cybersecurity and Customer-Focused Solutions [Jeannie Corfield] With a new CEO and Konica Minolta on board, MOBOTIX is set for expansion on a global scale. But how much growth can we expect for a company like MOBOTIX in an increasingly commoditised surveillance market, where many of the larger players compete on price as a key differentiator? While MOBOTIX respects those players, the German manufacturer wants to tell a different story. Rather than competing as a camera hardware manufacturer, MOBOTIX is increasingly positioning itself as a specialist in high-quality IP surveillance software – camera units are just one part of an intelligent system. Automated Lip Reading Software DownloadWhen MOBOTIX succeeds in telling this story, partners understand that it’s not about the price. ‘Anti-Surveillance Clothing’ Creates a New Wrinkle in Facial Detection [Larry Anderson] The latest challenge to facial recognition technology is “anti-surveillance clothing,” aimed at confusing facial recognition algorithms as a way of preserving “privacy.” The clothing, covered with ghostly face-like designs to specifically trigger face-detection algorithms, are a backlash against the looming possibility of facial recognition being used in retail environments and for other commercial purposes. Drone Terror: How to Protect Facilities and People [Logan Harris] Already, rogue groups such as ISIS have used low cost drones to carry explosives in targeted attacks. Using this same method, targeting high profile locations to create terror and panic is very possible. Security professionals and technologists are working furiously to address the gaps in drone defence. Compact Surveillance Radar (CSR) is a security technology addressing the problems with other types of detection.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |