Detect and track cars in a video sequence using optical flow estimation.
Track objects at a train station and to determine which ones remain stationary. Abandoned objects in public areas concern authorities since they might pose a security risk. Algorithms,
Implement a face detection and tracking algorithm in Simulink® by using a MATLAB® Function block. It closely follows the Face Detection and Tracking Using the KLT Algorithm MATLAB®
Use color information to detect and track road edges set in primarily residential settings where lane markings may not be present. The Color-based Tracking example illustrates how to use
Detect and track road lane markers in a video sequence and notifies the driver if they are moving across a lane. The example illustrates how to use the Hough Transform, Hough Lines and Kalman
Detect and count cars in a video sequence using Gaussian mixture models (GMMs).