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	You are here: Start » Filter Reference » OpenCV » Motion Analysis and Object Tracking » cvKalmanFilter
| Module: | OpenCV | 
|---|
Standard Kalman filter.
| Name | Type | Range | Description | |
|---|---|---|---|---|
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				inDynamParams | Integer | 1 - ![]()  | 
				Dimensionality of the state. | 
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				inMeasureParams | Integer | 1 - ![]()  | 
				Dimensionality of the measurement. | 
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				inControlParams | Integer | 0 - ![]()  | 
				Dimensionality of the control vector | 
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				inReset | Bool | When true, filter is reinitialized. | |
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				inPredict | Bool | When true, filter computes predicted state. | |
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				inCorrect | Bool | When true, filter updates predicted state from measurement. | |
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				inControl | Matrix | Control vector | |
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				inMeasurement | Matrix | Value to be used for correction. | |
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				inTransitionMatrix | Matrix | ||
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				inPreState | Matrix | ||
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				outState | Matrix | Set when inCorrect is true | |
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				outPrediction | Matrix | Set when inPredict is true | |
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
| Error type | Description | 
|---|---|
| DomainError | inControl must be a matrix of size 1 x inControlParams in cvKalmanFilter. | 
| DomainError | inMeasurement must be a matrix of size 1 x inMeasureParams in cvKalmanFilter. | 
| DomainError | inPreState must be a matrix of size 1 x inDynamParams in cvKalmanFilter. | 
| DomainError | inTransitionMatrix must be a matrix of size inDynamParams x inDynamParams in cvKalmanFilter. | 
Complexity Level
This filter is available on Basic Complexity Level.

 Basic

