Open Source Computer Vision Library
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227 lines
7.5 KiB
227 lines
7.5 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#ifndef OPENCV_OBJDETECT_DBT_HPP |
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#define OPENCV_OBJDETECT_DBT_HPP |
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#include <opencv2/core.hpp> |
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// After this condition removal update blacklist for bindings: modules/python/common.cmake |
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#if defined(__linux__) || defined(LINUX) || defined(__APPLE__) || defined(__ANDROID__) || \ |
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defined(CV_CXX11) |
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#include <vector> |
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namespace cv |
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{ |
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//! @addtogroup objdetect |
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//! @{ |
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class CV_EXPORTS DetectionBasedTracker |
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{ |
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public: |
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struct CV_EXPORTS Parameters |
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{ |
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int maxTrackLifetime; |
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int minDetectionPeriod; //the minimal time between run of the big object detector (on the whole frame) in ms (1000 mean 1 sec), default=0 |
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Parameters(); |
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}; |
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class IDetector |
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{ |
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public: |
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IDetector(): |
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minObjSize(96, 96), |
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maxObjSize(INT_MAX, INT_MAX), |
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minNeighbours(2), |
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scaleFactor(1.1f) |
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{} |
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virtual void detect(const cv::Mat& image, std::vector<cv::Rect>& objects) = 0; |
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void setMinObjectSize(const cv::Size& min) |
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{ |
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minObjSize = min; |
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} |
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void setMaxObjectSize(const cv::Size& max) |
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{ |
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maxObjSize = max; |
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} |
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cv::Size getMinObjectSize() const |
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{ |
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return minObjSize; |
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} |
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cv::Size getMaxObjectSize() const |
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{ |
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return maxObjSize; |
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} |
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float getScaleFactor() |
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{ |
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return scaleFactor; |
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} |
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void setScaleFactor(float value) |
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{ |
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scaleFactor = value; |
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} |
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int getMinNeighbours() |
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{ |
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return minNeighbours; |
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} |
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void setMinNeighbours(int value) |
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{ |
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minNeighbours = value; |
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} |
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virtual ~IDetector() {} |
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protected: |
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cv::Size minObjSize; |
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cv::Size maxObjSize; |
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int minNeighbours; |
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float scaleFactor; |
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}; |
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DetectionBasedTracker(cv::Ptr<IDetector> mainDetector, cv::Ptr<IDetector> trackingDetector, const Parameters& params); |
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virtual ~DetectionBasedTracker(); |
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virtual bool run(); |
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virtual void stop(); |
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virtual void resetTracking(); |
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virtual void process(const cv::Mat& imageGray); |
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bool setParameters(const Parameters& params); |
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const Parameters& getParameters() const; |
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typedef std::pair<cv::Rect, int> Object; |
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virtual void getObjects(std::vector<cv::Rect>& result) const; |
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virtual void getObjects(std::vector<Object>& result) const; |
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enum ObjectStatus |
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{ |
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DETECTED_NOT_SHOWN_YET, |
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DETECTED, |
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DETECTED_TEMPORARY_LOST, |
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WRONG_OBJECT |
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}; |
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struct ExtObject |
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{ |
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int id; |
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cv::Rect location; |
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ObjectStatus status; |
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ExtObject(int _id, cv::Rect _location, ObjectStatus _status) |
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:id(_id), location(_location), status(_status) |
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{ |
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} |
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}; |
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virtual void getObjects(std::vector<ExtObject>& result) const; |
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virtual int addObject(const cv::Rect& location); //returns id of the new object |
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protected: |
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class SeparateDetectionWork; |
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cv::Ptr<SeparateDetectionWork> separateDetectionWork; |
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friend void* workcycleObjectDetectorFunction(void* p); |
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struct InnerParameters |
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{ |
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int numLastPositionsToTrack; |
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int numStepsToWaitBeforeFirstShow; |
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int numStepsToTrackWithoutDetectingIfObjectHasNotBeenShown; |
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int numStepsToShowWithoutDetecting; |
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float coeffTrackingWindowSize; |
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float coeffObjectSizeToTrack; |
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float coeffObjectSpeedUsingInPrediction; |
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InnerParameters(); |
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}; |
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Parameters parameters; |
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InnerParameters innerParameters; |
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struct TrackedObject |
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{ |
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typedef std::vector<cv::Rect> PositionsVector; |
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PositionsVector lastPositions; |
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int numDetectedFrames; |
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int numFramesNotDetected; |
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int id; |
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TrackedObject(const cv::Rect& rect):numDetectedFrames(1), numFramesNotDetected(0) |
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{ |
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lastPositions.push_back(rect); |
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id=getNextId(); |
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}; |
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static int getNextId() |
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{ |
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static int _id=0; |
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return _id++; |
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} |
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}; |
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int numTrackedSteps; |
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std::vector<TrackedObject> trackedObjects; |
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std::vector<float> weightsPositionsSmoothing; |
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std::vector<float> weightsSizesSmoothing; |
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cv::Ptr<IDetector> cascadeForTracking; |
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void updateTrackedObjects(const std::vector<cv::Rect>& detectedObjects); |
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cv::Rect calcTrackedObjectPositionToShow(int i) const; |
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cv::Rect calcTrackedObjectPositionToShow(int i, ObjectStatus& status) const; |
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void detectInRegion(const cv::Mat& img, const cv::Rect& r, std::vector<cv::Rect>& detectedObjectsInRegions); |
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}; |
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//! @} objdetect |
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} //end of cv namespace |
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#endif |
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#endif
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