A complete end-to-end Multi-Object Tracking application using C++ with YOLO object detection and SORT-based tracking algorithm. mot_project/ ├── CMakeLists.txt # CMake build configuration ├── ...
Abstract: Real-time object detection on edge devices operates under tight computational, memory, and power budgets. Prior work typically treats model compression and hardware acceleration ...
What if you could code faster than ever before, with fewer errors, and without the constant grind of repetitive tasks? Enter YOLO Mode, the latest innovation in AI-powered development tools that’s ...
A high-performance, privacy-first web application for real-time object detection that runs entirely in your browser using WebGPU acceleration and ONNXRuntime-Web. No server required, no data leaves ...
Abstract: The performance of existing object detection algorithms significantly degrades when applied to low-resolution infrared (IR) images captured by unmanned aerial vehicles (UAVs), which suffers ...
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 ...
1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...