Real-time small object detection and tracking on edge devices using EdgeYOLO-S, Norfair, ByteTrack and TensorRT. This repository contains a fine-tuned EdgeYOLO-S model for small object tracking using ...
New EPA Proposal Would Strip States’ and Tribes’ Authority to Block Oil and Gas Pipelines, Other Infrastructure Projects A Small Oil Company Polluted Midland’s Water Reserve. The Cleanup Has Dragged ...
Scientists used tiny new sensors to follow the insects on journeys that take thousands of miles to their winter colonies in Mexico. Scientists used tiny new sensors to follow the insects on journeys ...
Introduction: Behavioral monitoring during reproductive stages is vital for camel welfare and effective farm management. This study aimed to assess daily activity patterns in pregnant, prepartum, and ...
Deep-Learning-Based Object Detection and Tracking of Debris Flows in 3-D Through LiDAR-Camera Fusion
Abstract: Debris flows are mixtures of water and sediments and are a significant natural hazard in mountainous regions. A novel monitoring approach combining LiDAR sensors and video cameras enables ...
Introduction: Children with Autism Spectrum Disorder (ASD) often find it difficult to maintain eye contact, which is vital for social communication. Eye tracking (ET) technology helps determine how ...
A federal jury has ordered Google to pay $425.7 million for improperly snooping on people's smartphones during a nearly decade-long period of intrusions. The verdict reached Wednesday in San Francisco ...
In this episode of Newsmaker, FOX 10's John Hook speaks with Harvard physicist Avi Loeb about a fast-moving comet, 3I/ATLAS, that is approaching Earth. The object was first reported in July. Rescue ...
Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
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