Motion estimation and tracking are key activities in many computer vision
applications, including activity recognition, traffic monitoring, automotive safety,
Track a face using a minimum Eigen features detection function and a point
Automatically detect and track a face in a live video stream, using the KLT algorithm.
Perform automatic detection and motion-based tracking of moving objects in a video from a stationary camera.
Automatically detect and track a face.
Automatically detect and track a face using feature points. The approach in this example keeps track of the face even when the person tilts his or her head, or moves toward or away from the camera.
Track pedestrians using a camera mounted in a moving car.
Use the vision.KalmanFilter object and configureKalmanFilter function to track objects.
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