the KCF (Kernelized Correlation Filter) tracker
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#include <opencv2/tracking.hpp>
the KCF (Kernelized Correlation Filter) tracker
KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed. This tracking method is an implementation of [112] which is extended to KCF with color-names features ([55]). The original paper of KCF is available at http://www.robots.ox.ac.uk/~joao/publications/henriques_tpami2015.pdf as well as the matlab implementation. For more information about KCF with color-names features, please refer to http://www.cvl.isy.liu.se/research/objrec/visualtracking/colvistrack/index.html.
◆ FeatureExtractorCallbackFN
typedef void(* cv::TrackerKCF::FeatureExtractorCallbackFN) (const Mat, const Rect, Mat &) |
◆ MODE
Feature type to be used in the tracking grayscale, colornames, compressed color-names The modes available now:
- "GRAY" – Use grayscale values as the feature
- "CN" – Color-names feature
◆ TrackerKCF()
cv::TrackerKCF::TrackerKCF |
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◆ ~TrackerKCF()
virtual cv::TrackerKCF::~TrackerKCF |
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◆ create()
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| cv.TrackerKCF.create( | [, parameters] | ) -> | retval |
| cv.TrackerKCF_create( | [, parameters] | ) -> | retval |
Create KCF tracker instance.
- Parameters
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◆ setFeatureExtractor()
The documentation for this class was generated from the following file: