NYC mayoral nominee Zohran Mamdani reveals Colbert show pitched shock'game' about war in Gaza Trump starts DOGE 2.0 as mass layoffs take place across federal government amid shutdown Fox Sports implodes over'protected' Mark Sanchez amid sick new stabbing video Famed'Big Short' investor gives terrifying verdict on Trump hammering China with 100 PERCENT tariff... and issues doomsday warning to Wall Street In his own words, KEITH URBAN speaks out on'miserable' life on the road: 'Where do we start?' A 10-year-old girl lied about bullies chopping her hair off. Delusions turned to dust: This week exposed Meghan... the thunderous look Harry gave her tells me he knows it too, writes MAUREEN CALLAHAN Erika Kirk's Turning Point USA scrambling behind the scenes after Candace Owens' leaked texts Taking Mounjaro has had a terrible side-effect I never saw coming. And I can't tell anyone because they'll think I'm a disgusting person Pierce Brosnan's wife Keely, 62, reveals thinner-than-ever frame after incredible weight loss journey Giants rookie Cam Skattebo's girlfriend goes viral in custom team jacket after he erupts in Eagles upset Ryan Reynolds slammed over'disturbing' vasectomy comment about son with Blake Lively Is your ex SPYING on you through your home? READ MORE: Are you dating a psychopath?

Autonomous navigation by drones using onboard sensors combined with machine learning and computer vision algorithms is impacting a number of domains, including agriculture, logistics, and disaster management. In this paper, we examine the use of drones for assisting visually impaired people (VIPs) in navigating through outdoor urban environments. Specifically, we present a perception-based path planning system for local planning around the neighborhood of the VIP, integrated with a global planner based on GPS and maps for coarse planning. We represent the problem using a geometric formulation and propose a multi DNN based framework for obstacle avoidance of the UAV as well as the VIP. Our evaluations conducted on a drone human system in a university campus environment verifies the feasibility of our algorithms in three scenarios; when the VIP walks on a footpath, near parked vehicles, and in a crowded street.

"The whole vision behind Track in the first place," says Veritone CEO Ryan Steelberg, was "if we're not allowed to track people's faces, how do we assist in trying to potentially identify criminals or malicious behavior or activity?" In addition to tracking individuals where facial recognition isn't legally allowed, Steelberg says, it allows for tracking when faces are obscured or not visible. The product has drawn criticism from the American Civil Liberties Union, which--after learning of the tool through MIT Technology Review--said it was the first instance they'd seen of a nonbiometric tracking system used at scale in the US. They warned that it raises many of the same privacy concerns as facial recognition but also introduces new ones at a time when the Trump administration is pushing federal agencies to ramp up monitoring of protesters, immigrants, and students. Veritone gave us a demonstration of Track in which it analyzed people in footage from different environments, ranging from the January 6 riots to subway stations.

Reolink has become the first security camera manufacturer to obtain Works With Home Assistant certification for its Wi-Fi home security cameras. This means Reolink's cameras--not including its 4G models--can now process video feeds, AI alerts, and device controls entirely within users' home networks to enhance user privacy. Home Assistant is a free and open-source smart home software platform managed by the Open Home Foundation. It has been embraced by many DIY smart home enthusiasts, and it can run on lots of different hardware, ranging from Raspberry Pi and Arm processors to the 64-bit x86 architecture commonly found in Mini PCs. It can even operate as a virtual machine on a laptop or desktop running MacOS or Windows.

Image Acquisition: The first step in computer vision is to acquire an image or video feed. This can be done using a camera or other imaging device. Pre-Processing: Once the image is acquired, it needs to be pre-processed to make it easier for the computer to analyze. This may involve noise reduction, image enhancement, or color correction. Feature Extraction: In this step, the computer analyzes the image to identify and extract specific features relevant to the task.

Every year people become lost or injured far from the trappings of civilization. Activating a Search and Rescue (SAR) operation can prove challenging due to harsh terrain and weather conditions, and another factor we now fortunately take for granted: reliable communications. The good news is that a team of SAR experts and key technology partners have assembled a solution that could prove a breakthrough in effecting a rescue, when hours or even minutes make a difference. Intel 5G Innovation Center/DCAI Labs Stockholm showcased a live AI/video analytics solution for the attendees at the Search and Rescue event in Lom, Norway on Sept 22nd. This event followed the SAR mandate of finding people in the terrain and directing rescue personnel to the person in need of being rescued.

That one would make more sense. In a video feed, a static background would contain most data (data, not information) in terms of the volume. The remaining sparse information belongs to foreground -- because foreground is typically taking small space in the video. Therefore, if I try to force M to become a sparse matrix S, I'd probably capture foreground movements in S. Another way to think is that, S captures the outliers in your data! Now adding up L and S should give us the original video, which is what the robust PCA equation is saying. Now easier said than done! How do we actually ensure these properties for these matrices.

With the rise in consumption of short format videos and highly personalized content, have you ever thought of having a customized news video feed that would work based on your preferences? This kind of video feed would help us in avoiding redundant news and irrelevant content that we often consume from multiple sources. In this blog, let's make an attempt to automate the process of video creation. In the process, we will be using off the shelf pre-trained models (Fine-tuning these models would increase the performance though) for the sake of simplicity. First, let's select a text source on which we want to make a video on.

The seven-arm octopus, Haliphron atlanticus, weighs as much as a person and haunts deep, dark waters from New Zealand to Brazil and British Columbia. So few people have seen this creature alive that researchers must study it in death--typically, as a mound of purplish flesh that washes ashore or turns up in a net. A living seven-arm octopus was scooped up by a Norwegian fishing trawler in 1984, but "when laid on deck the body collapsed," a local zoologist wrote at the time. What remained of the creature, he added, was "sack-shaped, large and flappy." Another turned up in a South Pacific research trawl in the early two-thousands, but the preservation process turned it into a "frozen lump," the giant-squid expert Steve O'Shea wrote.

Live video feeds of daycare centers are common, but the Army wants to take their kid-monitoring capabilities to the next level. Under a new pilot program being rolled out at a Fort Jackson, S.C. child-care center, the military is looking for service providers to layer commercially available facial recognition and artificial intelligence (AI) over existing closed-circuit television video feeds to improve childcare and cut costs. The request for bids on the project, called Installations of the Future: Technology Pilot for Child Development Center, explained that the CCTV feeds aren't constantly monitored by humans and the pilot program will explore whether AI could fill in the gaps. "Video analytic software provides the added security of continual computer monitoring used as an addition to the human CCTV monitoring," the request for bid said. "Moreover, it provides instant notifications to staff on a wide range of important AR 190-3 monitoring parameters as events occur."