Commit 344f8421 authored by klchang's avatar klchang Committed by Alexander Alekhin

Merge pull request #1484 from klchang:master

parent 31bd7d98
......@@ -527,9 +527,9 @@ class CV_EXPORTS_W Tracker : public virtual Algorithm
virtual ~Tracker();
/** @brief Initialize the tracker with a know bounding box that surrounding the target
/** @brief Initialize the tracker with a known bounding box that surrounded the target
@param image The initial frame
@param boundingBox The initial boundig box
@param boundingBox The initial bounding box
@return True if initialization went succesfully, false otherwise
*/
......@@ -537,7 +537,7 @@ class CV_EXPORTS_W Tracker : public virtual Algorithm
/** @brief Update the tracker, find the new most likely bounding box for the target
@param image The current frame
@param boundingBox The boundig box that represent the new target location, if true was returned, not
@param boundingBox The bounding box that represent the new target location, if true was returned, not
modified otherwise
@return True means that target was located and false means that tracker cannot locate target in
......@@ -1108,12 +1108,12 @@ class CV_EXPORTS_W TrackerBoosting : public Tracker
int iterationInit; //!<the initial iterations
int featureSetNumFeatures; //!< # features
/**
* \brief Read parameters from file
* \brief Read parameters from a file
*/
void read( const FileNode& fn );
/**
* \brief Write parameters in a file
* \brief Write parameters to a file
*/
void write( FileStorage& fs ) const;
};
......@@ -1199,7 +1199,7 @@ class CV_EXPORTS_W TrackerTLD : public Tracker
};
/** @brief KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed.
* This tracking method is an implementation of @cite KCF_ECCV which is extended to KFC with color-names features (@cite KCF_CN).
* This tracking method is an implementation of @cite KCF_ECCV which is extended to KCF with color-names features (@cite KCF_CN).
* 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>.
......@@ -1227,12 +1227,12 @@ public:
Params();
/**
* \brief Read parameters from file, currently unused
* \brief Read parameters from a file
*/
void read(const FileNode& /*fn*/);
/**
* \brief Read parameters from file, currently unused
* \brief Write parameters to a file
*/
void write(FileStorage& /*fs*/) const;
......@@ -1397,9 +1397,9 @@ public:
targetNum = 0;
}
/** @brief Add a new target to a tracking-list and initialize the tracker with a know bounding box that surrounding the target
/** @brief Add a new target to a tracking-list and initialize the tracker with a known bounding box that surrounded the target
@param image The initial frame
@param boundingBox The initial boundig box of target
@param boundingBox The initial bounding box of target
@param tracker_algorithm Multi-tracker algorithm
@return True if new target initialization went succesfully, false otherwise
......
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