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Event detection in template matching is done by applying a common threshold to the network-stacked cross-correlation trace, which is generally defined as the median plus several times the median absolute deviation (MAD).
Fast template matching is used to locate the target subregion of a gallery template or a pure eyebrow image in a probe original eyebrow image, whereas Fourier spectrum distance is used to determine the final identity of the probe original eyebrow image.
Hausdorff distance-based template matching is employed for motion recognition.
The greatest source of error in tracking by template matching is erroneous peak matching.
The architecture is discussed and a typical application for template matching is presented.
Hausdorff distance-based template matching is employed for validating the usefulness of the proposed sensing method.
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Several wavelet- and Gabor-based methods for template matching are proposed.
The method based on template matching was used to successfully identify sperm cells [17] and other suspended cells [18].
Here, (f_{NCC}(F_{p_{i}},F_{g_{j,k}} phantom {dot {i}!}) is an operator that is used to calculate the normalized cross-correlation (NCC) between (F_{p_{i}}) and (F_{g_{j,k}}), and template matching was performed within the region of interest that is defined by the silhouette mask of the gallery.
In [13], an episodic-HMM hybrid system was proposed to exploit the ability of HMMs in producing high-quality phone graphs as well as the capability of an episodic memory in accessing fine-grained acoustic data for rescoring, where template matching was performed by DTW using the Euclidean distance.
Then low-level segmentation and high-level ventricle recognition using template matching are applied.
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