"... the research area that studies the operation and design of systems that recognize patterns in data." It includes statistical methods like discriminant analysis, feature extraction, error estimation, cluster analysis.
– Pattern Recognition Laboratory at Delft University of Technology
In this Oct. 31, 2018 photo, Huang Yongzhen, CEO of Watrix, demonstrates the use of his firm's gait recognition software at his company's offices in Beijing. Chinese authorities have begun deploying a new surveillance tool: "gait recognition" software that uses people's body shapes and how they walk to identify them, even when their faces are hidden from cameras.
OSAKA – Despite advances in facial recognition technology, the police in Osaka still rely on pure skill to find fugitives, with investigators using only their memory to arrest dozens of wanted criminals every year. While other police forces in the world have "super recognizer" units that hunt down fugitives, the so-called miatari (look and hit) technique used in Osaka has contributed to the arrests of over 4,000 criminals in Japan since the Osaka Prefectural Police introduced it as a formal investigative method in November 1978. There has not been a single wrongful arrest. "The best part of this method is being able to detect fugitives who are hard to find in normal investigations," said a senior investigator in Osaka. He says a forensic analysis is an imperative part of criminal investigations, but "we want to pass on the tradition because our job is to make sure no one gets away with a crime."
Amazon boss Jeff Bezos has warned staff not to be complacent, claiming the firm'is not too big to fail' At an all-hands meeting last Thursday in Seattle, days before the firm announced the winners of its HQ2 contest, Bezos was asked about the recent failures of giant retailers like Sears. 'Amazon is not too big to fail,' Bezos said, in a recording of the meeting CNBC said it had heard. 'In fact, I predict one day Amazon will fail. If you look at large companies, their lifespans tend to be 30-plus years, not a hundred-plus years.' Bezos told the meeting the key to survival is to'obsess over customers'.
Facial recognition is being used to identify American Civil War soldiers who may have otherwise been lost in the sands of time. Computer scientist and history buff Kurt Luther created a free-to-use website, called Civil War Photo Sleuth, that uses facial recognition technology to cross-reference vintage photographs with a database and hopefully assign a name to unknown subjects. Luther was inspired to launch the website after he stumbled upon a wartime portrait of his great-great-uncle, who was a Union corporal in the Civil War. Then, the site's facial recognition technology goes to work, mapping as many as 27 'facial landmarks.' It uses those facial landmarks to compare the photo to the more than 10,000 identified photos in the site's archive.
Facial recognition has been widely adopted at airports, stadiums, traffic intersections and even some schools. Now, experts say retail is the next industry to become a target of the technology, pointing to a growing number of suppliers and companies willing to put it in their stores. U.S. retailers are expected to begin using facial recognition to stop shoplifters or spot criminals, but many are eyeing it for much broader uses - including customer tracking or loyalty programs, according to Biometric Update. The move has already attracted scrutiny from privacy advocates who fear shoppers may be unaware that retailers are keeping track of their faces. The makers of this facial recognition technology view it differently, however, believing that it would lead to a better consumer experience.
Amazon Rekognition backed by AWS cloud services is another giant in the face recognition space. Amazon Rekognition is the easiest way to add features relating to image or video processing to your application, especially if you are running your application on AWS cloud. The service can identify faces, people and activities among many other things once given image content. Amazon Rekognition is very popular for its facial analysis service. It has a fairly accurate facial recognition engine that works on many kinds of images and videos also.
Constrained sequential pattern mining aims at identifying frequent patterns on a sequential database of items while observing constraints defined over the item attributes. We introduce novel techniques for constraint-based sequential pattern mining that rely on a multi-valued decision diagram representation of the database. Specifically, our representation can accommodate multiple item attributes and various constraint types, including a number of non-monotone constraints. To evaluate the applicability of our approach, we develop an MDD-based prefix-projection algorithm and compare its performance against a typical generate-and-check variant, as well as a state-of-the-art constraint-based sequential pattern mining algorithm. Results show that our approach is competitive with or superior to these other methods in terms of scalability and efficiency.
Deep learning is a technology with a lot of promise: helping computers "see" the world, understand speech, and make sense of language. But away from the headlines about computers challenging humans at everything from spotting faces in a crowd to transcribing speech -- real-world performance has been more mixed. One deep-learning technology whose real-world results have often disappointed has been facial-recognition. In the UK, police in Cardiff and London used facial-recognition systems on multiple occasions in 2017 to flag persons of interest captured on video at major events. Unfortunately, more than 90% of people picked out by these systems were false matches.
Amazon employees plan to take CEO Jeff Bezos to task about the firm's controversial facial recognition software, Rekognition. The tech giant will host an all-staff meeting on Thursday and it's there that employees will flood executives with questions about Rekognition, as well as why Amazon continues work with immigration authorities, according to Recode. Pressure has been mounting for Amazon to cancel its contracts with ICE and law enforcement agents, which allow them to test out the facial recognition technology. Amazon employees plan to take CEO Jeff Bezos (pictured) to task at an all-hands meeting on Thursday about the firm's controversial facial recognition software, Rekognition Amazon lets employees submit their questions for Bezos and other executives beforehand using an online form. They then go through the list and decide on which questions to answer.
A Chinese surveillance company, Watrix, has developed a new system for "gait recognition" that can identify people up to 165 feet away based on how they walk. This means that if a person is wearing a mask or is at an awkward angle, the software can use existing footage to detect them. CEO of Watrix, Huang Yongzhen, told the Associated Press in an interview that the software can't be fooled by limping or other out-of-the-ordinary stances because it analyzes a person's entire body. Watrix's gait recognition technology is fed a video clip of the person walking, cuts a silhouette and creates a model of the way a person walks. While Watrix claims its technology has a 94 percent accuracy rate, analysis is not done live and in real-time.