Articles tagged with Video Cameras
A study of 198 male rugby players found that injuries caused by indirect contact had a high incidence and burden, while tackle direction was associated with injury severity. The insights gained can guide targeted prevention programs for knee injuries in rugby.
Researchers at Champalimaud Centre for the Unknown used machine learning techniques to show that mice's facial movements reflect their hidden thoughts. This discovery could offer unprecedented insight into brain function and potential new research tools.
Researchers at the University of Utah create a compact camera capturing both color and fine spectral details in a single snapshot, enabling fast and efficient hyperspectral imaging. The camera's design represents a leap forward in capturing spectral data, making it cheaper, faster, and more compact.
A new study reveals persistent disparities in telehealth access among rural US populations, with older adults, Spanish speakers, and those on Medicaid or Medicare facing significant barriers. The research highlights the need for policy reform and digital health equity efforts to address these disparities and improve virtual care access.
Researchers at Kobe University have created a single-pixel camera that can record three-dimensional holographic movies, even through tissues. The camera uses a high-speed digital micromirror device to project patterns required for recording the hologram, enabling the capture of moving objects and images outside the visible spectrum.
Researchers at UVA's School of Engineering and Applied Science have developed an AI-driven intelligent video analyzer capable of detecting human actions with unprecedented precision and intelligence. The system, called SMAST, promises to transform industries such as surveillance, healthcare, and autonomous driving.
Researchers developed a method combining AI and thermal cameras to enhance weightlifting training, providing data-driven insights for targeted strategies. The approach enables real-time tracking of muscle activation, strain detection, and temperature changes, ultimately helping athletes optimize performance and safety.
Researchers developed a deep learning-based model to estimate rainfall intensity from surveillance audio, achieving a root mean absolute error of 0.88 mm h-1 and a coefficient of correlation of 0.765. This approach offers a new method for high-resolution hydrological sensing, contributing to environmental resilience and urban sensing.
A new camera system called PrivacyLens can replace people in images with generic stick figures, protecting their identities and reducing unnecessary surveillance. This technology could prevent embarrassing photos from being shared online and make patients more comfortable using cameras for chronic health monitoring.
The University of Maryland team created a camera mechanism that mimics the involuntary movements of the human eye, resulting in sharper and more accurate images. The Artificial Microsaccade-Enhanced Event Camera (AMI-EV) has implications for robotics, national defense, and industries relying on accurate image capture.
A study found that thumbnails on a popular video-sharing platform used by children contained attention-capturing designs with violent and stereotyped themes. The researchers aim to understand how children respond to such thumbnail designs and their impact on the quality of consumed content.
A computer vision researcher has developed privacy software for surveillance videos that obscures identifiable information such as faces and clothing in real-time. The software, funded by the National Science Foundation's Accelerating Research Translation program, aims to balance surveillance needs with privacy concerns.
A new AI-based video biomarker is associated with aortic stenosis development and progression, allowing for opportunistic risk stratification across various imaging modalities. The study's findings suggest potential applications on handheld devices for early detection and intervention.
A new camera system records natural animal-view videos with high accuracy, enabling scientists to study animal behavior and navigation. The system uses four color channels, including UV light, to produce accurate video of how animals perceive colors.
Researchers found that witch hazel species with heavier seeds can fling them just as fast as lighter ones due to their spring-loaded fruits. The plants' unique mechanism involves the seed capsule drying out and deforming, releasing elastic energy to propel the seed forward.
Discontinuing or reducing telephone access may disrupt treatment for patients with access disparities, particularly Black patients and those experiencing homelessness. Telehealth was associated with increased retention rates for both new and continuing patients.
Computer scientists have developed a system to analyse noise produced by individual cameras, linking videos or images to specific cameras. The tool extracts camera-specific noise from video frames, achieving high accuracy rates and potential practical use for law enforcement.
A new study reveals that Manx shearwaters use dynamic soaring to harvest wind energy and travel efficiently across the ocean. The birds' ability to adapt their flight patterns to optimize energy gain suggests a potentially game-changing strategy for drones and other aerial vehicles.
A new system, RescueCASTR, equips rescuers with 360-degree body cameras sending video and photos back to a central command post. This allows the commander to track teams, coordinate efforts and get on-the-ground views of wilderness conditions.
A pilot study found that virtually guided prolonged exposure therapy reduced PTSD symptoms more effectively than traditional exposure alone, using real-time psychophysiology to tailor stress levels. Most patients saw a clinically significant reduction in their PTSD Checklist score after 10-12 sessions.
FAU researchers custom-build multi-sensor tag combined with AI to observe goliath grouper species in the wild. The study identified 13 behaviors, including hovering, forward swimming, and vocalizations, using video footage from the tags.
Scientists at the University of Bath developed OmniPhotos, a system capturing 360° VR photography without expensive specialist cameras. This approach recreates high-quality motion parallax, mimicking real-world depth perception, creating a more immersive experience.
A team of Penn State students developed a multi-pronged data analysis approach to improve IoT device security. They applied statistical data, machine learning, and other methods to identify potential security breaches and develop predictive patterns to anticipate attacks.
Researchers developed a hybrid lightweight tracking algorithm, Kerman, to enhance detection of people and behaviors in surveillance videos. The algorithm uses decentralized computing to process video streams on-site, increasing agility and robustness.
The University of Illinois team has developed a predictive visual data analytics tool called Flying Superintendent to streamline construction progress monitoring. This technology utilizes drone-based images and 4D BIM to quickly identify performance problems, allowing project stakeholders to prioritize issues and take corrective actions.
Researchers captured footage of New Caledonian crows manufacturing and using hooked stick tools in the wild, demonstrating their sophisticated foraging behavior. The study found that crows value their tools and use them to probe for food in tree crevices and leaf litter.
A new performance capture method developed at Disney Research captures facial features in high resolution, including wrinkles, and operates in real-time with a single video camera. This allows for realistic virtual characters and improved emotional expression conveyance.
The Disney Research algorithm corrects for parallax and image warping, eliminating ghosting and other distortions in video panoramas. It generates high-quality panoramic videos with resolutions up to 100 megapixels using unstructured camera arrays.
Researchers developed an algorithm that enables tracking of people across moving and still cameras by learning the differences between camera views. The technology has applications in security, surveillance, and marketing, but raises concerns about privacy.
The SENSEI Instrument project aims to create a camera system that captures the entire surrounding environment, including the size and mass of objects. This technology will provide detailed information on marine life, such as coral reefs and kelp forests, and enhance our understanding of cultural heritage sites.
A Disney Research team created an algorithm that automatically edits footage from multiple cameras, following established rules of cinematography and identifying the most interesting content. The resulting videos capture essential action and are often similar in spirit to those produced by professionals.
Researchers developed a technique for estimating visibility using motion as a cue, enabling large-scale 3D motion reconstruction without markers. The Panoptic Studio used 480 video cameras to create detailed reconstructions of volleyball games and confetti cascades.
Researchers at Carnegie Mellon University have developed LiveLight, a video summarization technique that evaluates action in videos and ignores repetitive sequences. The method produces a miniature video trailer that enables viewers to quickly grasp the essence of an event or security footage.
A recent study by Caltech researchers found that fruit flies use their antennae to quickly sense changes in wind speed, helping them maintain a steady groundspeed. The findings suggest the antennae are responsible for initial deceleration in headwinds and provide critical information to help the fly regain its original speed.
A study by Northwestern University found that memory edits the past with present experiences, reframing events to create a story fitting the current world. The hippocampus plays a key role in this process, acting as a film editor and special effects team.
A USC Marshall School of Business study found that video capture and automated systems can significantly reduce medical errors by minimizing the tendency to operate outside normal procedures. The research suggests that technology can overcome human tendencies to cover up mistakes, but training is essential to improve interpretive errors.
A team of scientists from the Institute for Ocean Conservation Science used video cameras to count Caribbean reef sharks inside and outside marine reserves on the Mesoamerican Barrier Reef. The results show that the sharks were more abundant in the reserves, with a higher relative abundance compared to areas where fishing is allowed.
Researchers at Disney Research and Carnegie Mellon University have developed a new technique for motion capture using body-mounted cameras. The system uses structure from motion (SfM) to reconstruct an actor's movements in real-time, enabling capturing of complex motions like running or swinging outside.
Researchers found that untrained operators can accurately judge a robot's size relative to an opening but overestimate their driving skill. With practice, participants improve their driveability judgments, reducing the likelihood of robots getting stuck.
Camera traps in the Sumatran jungle have captured images of a rare female tiger and her cubs, providing unique insight into their behavior. The tigress and her cubs were seen stopping to sniff and check out the camera trap, giving researchers valuable information about their habitat and population.
Scientists discovered that locusts, like mammals, rely on vision rather than touch to navigate ladders. This finding highlights the complexity of insect behavior and challenges the notion that larger brains are necessary for sophisticated motor control.
A new video 'perfection tool' from Tel Aviv University can enhance raw video images to identify suspects, improving the odds of locating terrorists or identifying criminal suspects. The tool uses algorithms to stabilize images, allowing objects that are really moving to be distinguished from chaotic atmospheric changes.
A new tool, Baby Steps, combines photo and video recording with medical record-keeping to track children's developmental milestones. This system led to a three-fold increase in parents recording medically relevant information.
The US Department of Homeland Security's Science and Technology Directorate conducted an experiment where a retired public bus was rigged with explosives and cameras were detonated to assess their durability. Fourteen out of 16 memory chips survived the blast, demonstrating potential for these cameras in mass transit security.
Researchers at University College London successfully induced an out-of-body experience (OBE) in healthy participants using a novel method. The study, published in Science, reveals the neural basis of OBEs and has implications for fields like neuroscience, philosophy, and psychology.
Excluding consumers from promotions can actually increase their interest in a product, as they perceive others as more savvy buyers. In experiments conducted by Duke University's Fuqua School of Business, researchers found that naive consumers are attracted to products with freebies not available to them, leading them to believe that e...
Sony has donated twelve DCR-TRV38 MiniDV Handycam camcorders to Sixth College, enhancing their Digital Playroom for innovative film-making courses. The donation supports UCSD's $1 billion fund-raising goal and aligns with Sony's philanthropic priorities in education.
The Johns Hopkins APL has developed a system that can accurately detect tampering in digital videos. The Digital Video Authenticator uses public-key cryptography to generate unique signatures for each frame, allowing it to recognize changes made to the original tape.