Object Tracking
Explore object tracking in computer vision, covering algorithms, datasets, and challenges. Learn about various tracking methods and their performance in different scenarios.
Lucas-Kanade Tracker (KLT) - Global Motion Estimation - Lecture 10
Explore Lucas-Kanade Tracker (KLT) for computer vision, covering global motion estimation, object tracking, and 2D transformations. Gain insights into advanced tracking algorithms.
Deep Reinforcement Learning for Object Tracking
Explore action-driven object tracking using deep reinforcement learning, covering policy, value functions, and training approaches for improved visual tracking performance.
Karhunen-Loève Transform (KLT) Algorithm for Tracking - Lecture 10
Explore tracking techniques, including KLT algorithm, for computer vision applications. Learn about translation models, Jacobian matrices, and multi-camera setups.
Visual Analysis of Extremely Dense Crowded Scenes
Analyzing dense crowd scenes using computer vision techniques for counting, detecting, and tracking individuals. Explores multiple data sources, context, and neighborhood motion to address challenges in extremely crowded environments.
Computer Vision Projects
In this tutorial series, we would be working on hands-on projects using OpenCV and Python.
Learn Computer Vision with Jetson Nano Using Python
Learn computer vision fundamentals and apply them to real-world projects using Jetson Nano. Develop skills in eye tracking, self-driving car simulation, and face recognition with hands-on experience.
Blender 2.79 Tutorial - Materials and Lighting
Learn to create and manipulate materials in Blender, including lighting, textures, glass simulation, and object tracking. Gain practical skills through examples and demonstrations.
After Effects Masterclass for Beginners - Full Tutorial in 60 Minutes
Comprehensive masterclass covering essential After Effects tools, techniques, and workflows. From basic interface to advanced 3D tracking and expressions, learn to create professional motion graphics and visual effects.
Ground Breaking VFX - Blender VFX for Beginners
Learn to create realistic destruction effects in Blender, from tracking and fracturing to adding physics, dust, debris, and smoke. Master advanced VFX techniques for stunning visual impact.
Trying Out the STEMCoding Object Tracker - Episode 1
Explore a user-friendly object tracking app for physics analysis, featuring hands-on demonstrations and practical applications in STEM education.
Real-time Video Analytics Using RTSP Stream and Computer Vision
Master real-time video analytics using RTSP streams and computer vision to build monitoring systems for object counting, duration tracking, and traffic analysis.
AI on the Edge: Hardware-Software Co-Design for Graph Analytics and Neural Networks - Session 3
Explore cutting-edge research on hardware-software co-design for AI, including graph analytics, neural networks, object detection, and federated learning.
Traffic Analysis with YOLOv8 and ByteTrack - Vehicle Detection and Tracking
Learn real-time traffic analysis using YOLOv8 and ByteTrack for vehicle detection and tracking on aerial images. Explore zone assignment, movement direction, and traffic flow visualization with Python and Supervision.
Video Data Processing with Python and OpenCV
Learn to process video data using Python and OpenCV, covering reading, writing, metadata extraction, image manipulation, and annotation. Gain essential skills for machine learning applications in computer vision.
Integral Images: Concept and Application in Spatial Algorithms
Learn about integral images for faster spatial partitioning and search algorithms, with a demonstration of object tracking implementation and practical coding examples.
Streamline Deep Learning for Video Analytics with DeepStream SDK 2.0
Explore AI-based video analytics using DeepStream SDK 2.0 for Tesla, transforming video into insights for smart cities with a modular plugin architecture and scalable framework for multi-stream processing and application development.
Navigating Vision Systems with Weights & Biases and SmartCow
Explore computer vision advancements with Weights & Biases and SmartCow. Learn about Ultralytics, object detection metrics, and practical implementations for enhancing ML projects.
Dwell Time Analysis with Computer Vision - Real-Time Stream Processing
Optimize processes using computer vision for wait time analysis. Learn object detection, tracking, and time calculation in zones to enhance customer experience and improve efficiency.
Digital Assistance for Quality Assurance - Augmenting Workspaces Using Deep Learning for Tracking Near-Symmetrical Objects
Innovative deep learning approach for quality assurance in manufacturing, focusing on tracking and measuring near-symmetrical objects like LEGO bricks using visual guides and fine-grained feature detection.
Image Processing in JavaScript
Explore fundamental image processing techniques in JavaScript, from face detection to distance measurement, with demos and library recommendations for practical applications.