Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
152 lines
4.5 KiB
152 lines
4.5 KiB
#pragma once |
|
|
|
#if defined(__linux__) || defined(LINUX) || defined(__APPLE__) || defined(ANDROID) |
|
|
|
#include <opencv2/core/core.hpp> |
|
#include <opencv2/objdetect/objdetect.hpp> |
|
|
|
#include <vector> |
|
|
|
namespace cv |
|
{ |
|
class DetectionBasedTracker |
|
{ |
|
public: |
|
struct Parameters |
|
{ |
|
int maxTrackLifetime; |
|
int minDetectionPeriod; //the minimal time between run of the big object detector (on the whole frame) in ms (1000 mean 1 sec), default=0 |
|
|
|
Parameters(); |
|
}; |
|
|
|
class IDetector |
|
{ |
|
public: |
|
IDetector(): |
|
minObjSize(96, 96), |
|
maxObjSize(INT_MAX, INT_MAX), |
|
minNeighbours(2), |
|
scaleFactor(1.1f) |
|
{} |
|
|
|
virtual void detect(const cv::Mat& image, std::vector<cv::Rect>& objects) = 0; |
|
|
|
void setMinObjectSize(const cv::Size& min) |
|
{ |
|
minObjSize = min; |
|
} |
|
void setMaxObjectSize(const cv::Size& max) |
|
{ |
|
maxObjSize = max; |
|
} |
|
cv::Size getMinObjectSize() const |
|
{ |
|
return minObjSize; |
|
} |
|
cv::Size getMaxObjectSize() const |
|
{ |
|
return maxObjSize; |
|
} |
|
float getScaleFactor() |
|
{ |
|
return scaleFactor; |
|
} |
|
void setScaleFactor(float value) |
|
{ |
|
scaleFactor = value; |
|
} |
|
int getMinNeighbours() |
|
{ |
|
return minNeighbours; |
|
} |
|
void setMinNeighbours(int value) |
|
{ |
|
minNeighbours = value; |
|
} |
|
virtual ~IDetector() {} |
|
|
|
protected: |
|
cv::Size minObjSize; |
|
cv::Size maxObjSize; |
|
int minNeighbours; |
|
float scaleFactor; |
|
}; |
|
|
|
DetectionBasedTracker(cv::Ptr<IDetector> mainDetector, cv::Ptr<IDetector> trackingDetector, const Parameters& params); |
|
virtual ~DetectionBasedTracker(); |
|
|
|
virtual bool run(); |
|
virtual void stop(); |
|
virtual void resetTracking(); |
|
|
|
virtual void process(const cv::Mat& imageGray); |
|
|
|
bool setParameters(const Parameters& params); |
|
const Parameters& getParameters() const; |
|
|
|
|
|
typedef std::pair<cv::Rect, int> Object; |
|
virtual void getObjects(std::vector<cv::Rect>& result) const; |
|
virtual void getObjects(std::vector<Object>& result) const; |
|
|
|
virtual int addObject(const cv::Rect& location); //returns id of the new object |
|
|
|
protected: |
|
class SeparateDetectionWork; |
|
cv::Ptr<SeparateDetectionWork> separateDetectionWork; |
|
friend void* workcycleObjectDetectorFunction(void* p); |
|
|
|
struct InnerParameters |
|
{ |
|
int numLastPositionsToTrack; |
|
int numStepsToWaitBeforeFirstShow; |
|
int numStepsToTrackWithoutDetectingIfObjectHasNotBeenShown; |
|
int numStepsToShowWithoutDetecting; |
|
|
|
float coeffTrackingWindowSize; |
|
float coeffObjectSizeToTrack; |
|
float coeffObjectSpeedUsingInPrediction; |
|
|
|
InnerParameters(); |
|
}; |
|
Parameters parameters; |
|
InnerParameters innerParameters; |
|
|
|
struct TrackedObject |
|
{ |
|
typedef std::vector<cv::Rect> PositionsVector; |
|
|
|
PositionsVector lastPositions; |
|
|
|
int numDetectedFrames; |
|
int numFramesNotDetected; |
|
int id; |
|
|
|
TrackedObject(const cv::Rect& rect):numDetectedFrames(1), numFramesNotDetected(0) |
|
{ |
|
lastPositions.push_back(rect); |
|
id=getNextId(); |
|
}; |
|
|
|
static int getNextId() |
|
{ |
|
static int _id=0; |
|
return _id++; |
|
} |
|
}; |
|
|
|
int numTrackedSteps; |
|
std::vector<TrackedObject> trackedObjects; |
|
|
|
std::vector<float> weightsPositionsSmoothing; |
|
std::vector<float> weightsSizesSmoothing; |
|
|
|
cv::Ptr<IDetector> cascadeForTracking; |
|
|
|
void updateTrackedObjects(const std::vector<cv::Rect>& detectedObjects); |
|
cv::Rect calcTrackedObjectPositionToShow(int i) const; |
|
void detectInRegion(const cv::Mat& img, const cv::Rect& r, std::vector<cv::Rect>& detectedObjectsInRegions); |
|
}; |
|
} //end of cv namespace |
|
#endif
|
|
|