Matlab function configureKalmanFilter: Create Kalman filter for object tracking. kalmanFilter = configureKalmanFilter (MotionModel, InitialLocation, InitialEstimateError, MotionNoise, MeasurementNoise) returns a vision.KalmanFilter object configured to track a physical object. This object moves with constant velocity or constant acceleration in an M-dimensional Cartesian space. The function determines the number of dimensions, M, from the length of the InitialLocation vector. This function provides a simple approach for configuring the vision.KalmanFilter object for tracking a physical object in a Cartesian coordinate system. The tracked object may move with either constant velocity or constant acceleration. The statistics are the same along all dimensions. If you need to configure a Kalman filter with different assumptions, use the vision.KalmanFilter object directly.
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References in zbMATH (referenced in 1 article )
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- Chmielewska, Agata; Parzych, Marianna; Marciniak, Tomasz; Dąbrowski, Adam: New approach to traffic density estimation based on indoor and outdoor scenes from CCTV (2015)