Marker-Based Tracking
Marker-based tracking is a computer vision technique that uses predefined visual markers (such as QR codes, ArUco markers, or fiducial markers) to detect and track objects in real-time. It involves capturing images or video from a camera, identifying the markers in the scene, and calculating their position and orientation relative to the camera. This method is widely used in augmented reality (AR), robotics, and motion capture systems to provide accurate and stable tracking.
Developers should learn marker-based tracking when building applications that require precise spatial tracking, such as AR experiences where virtual objects need to be anchored to real-world markers, or in robotics for navigation and object manipulation. It is particularly useful in controlled environments where markers can be easily placed and detected, offering high accuracy and reliability compared to markerless tracking methods. Use cases include interactive marketing displays, industrial automation, and educational tools.