Analysis of Sports Scenes Using Computer Vision Models
Explore computer vision applications in sports analysis, from player detection to performance monitoring, using deep neural networks with practical experiments in handball scene analysis.
Efficient 3D Perception for Autonomous Vehicles
Explore efficient 3D perception techniques for autonomous vehicles, including multi-sensor fusion, accelerated view transformation, and optimized backbones for real-time performance on edge devices.
Open-world Segmentation and Tracking in 3D
Discover cutting-edge techniques for 3D data detection and segmentation using pseudo-labels, with insights into Lidar applications and Segment Anything technology from NVIDIA expert Laura Leal-Taixé.
AI for Everyone - Tracking an Object Based on Color in OpenCV
Learn to track objects by color using OpenCV with step-by-step instructions. Create masks, use trackbars for model training, and apply techniques for effective color-based object detection.
AI for Everyone - Understanding the HSV Color Space
Explore the HSV color space for effective object tracking in OpenCV. Learn about hue, saturation, and value components to enhance your computer vision projects.
Machine Learning System Endeavors - From Design to Production
Explore the journey of implementing a video processing AI system, from initial design through production challenges, focusing on ML pipeline management, bug tracking, and real-world impact in smart buildings.
Efficient 3D Perception for Autonomous Vehicles
Explore cutting-edge techniques for efficient 3D perception in autonomous vehicles, including multi-sensor fusion, accelerated view transformation, and real-time performance on edge GPUs.
Ubiquitous 3D Vision in the Wild
Explore cutting-edge 3D vision techniques for object detection, tracking, and reconstruction from various camera platforms. Gain insights into advanced algorithms for human motion analysis and multi-human tracking.
YOLOv11 for Real-Time Class-Wise Vehicle Counting and Tracking
Master real-time vehicle detection and tracking using YOLO11, implementing class-wise counting with BoT-SORT and ByteTrack algorithms for traffic analysis and smart city applications.