TrackerKCFParams Class |
[Missing <summary> documentation for "T:OpenCvSharp.Tracking.TrackerKCF.Params"]
Namespace: OpenCvSharp.Tracking
The TrackerKCFParams type exposes the following members.
| Name | Description | |
|---|---|---|
| TrackerKCFParams | Initializes a new instance of the TrackerKCFParams class |
| Name | Description | |
|---|---|---|
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
| Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
| GetType | Gets the Type of the current instance. (Inherited from Object.) | |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| Name | Description | |
|---|---|---|
| CompressedSize |
feature size after compression
| |
| CompressFeature |
activate the pca method to compress the features
| |
| DescNpca |
non-compressed descriptors of TrackerKCF::MODE
| |
| DescPca |
compressed descriptors of TrackerKCF::MODE
| |
| DetectThresh |
detection confidence threshold
| |
| InterpFactor |
linear interpolation factor for adaptation
| |
| Lambda |
regularization
| |
| MaxPatchSize |
threshold for the ROI size
| |
| OutputSigmaFactor |
spatial bandwidth (proportional to target)
| |
| PcaLearningRate |
compression learning rate
| |
| Resize |
activate the resize feature to improve the processing speed
| |
| Sigma |
gaussian kernel bandwidth
| |
| SplitCoeff |
split the training coefficients into two matrices
| |
| WrapKernel |
wrap around the kernel values
|