| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227 | /*M///////////////////////////////////////////////////////////////////////////////////////////  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.////  By downloading, copying, installing or using the software you agree to this license.//  If you do not agree to this license, do not download, install,//  copy or use the software.//////                          License Agreement//                For Open Source Computer Vision Library//// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.// Copyright (C) 2009, Willow Garage Inc., all rights reserved.// Copyright (C) 2013, OpenCV Foundation, all rights reserved.// Third party copyrights are property of their respective owners.//// Redistribution and use in source and binary forms, with or without modification,// are permitted provided that the following conditions are met:////   * Redistribution's of source code must retain the above copyright notice,//     this list of conditions and the following disclaimer.////   * Redistribution's in binary form must reproduce the above copyright notice,//     this list of conditions and the following disclaimer in the documentation//     and/or other materials provided with the distribution.////   * The name of the copyright holders may not be used to endorse or promote products//     derived from this software without specific prior written permission.//// This software is provided by the copyright holders and contributors "as is" and// any express or implied warranties, including, but not limited to, the implied// warranties of merchantability and fitness for a particular purpose are disclaimed.// In no event shall the Intel Corporation or contributors be liable for any direct,// indirect, incidental, special, exemplary, or consequential damages// (including, but not limited to, procurement of substitute goods or services;// loss of use, data, or profits; or business interruption) however caused// and on any theory of liability, whether in contract, strict liability,// or tort (including negligence or otherwise) arising in any way out of// the use of this software, even if advised of the possibility of such damage.////M*/#ifndef OPENCV_OBJDETECT_DBT_HPP#define OPENCV_OBJDETECT_DBT_HPP#include <opencv2/core.hpp>// After this condition removal update blacklist for bindings: modules/python/common.cmake#if defined(__linux__) || defined(LINUX) || defined(__APPLE__) || defined(__ANDROID__) || \  defined(CV_CXX11)#include <vector>namespace cv{//! @addtogroup objdetect//! @{class CV_EXPORTS DetectionBasedTracker{    public:        struct CV_EXPORTS 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;        enum ObjectStatus        {            DETECTED_NOT_SHOWN_YET,            DETECTED,            DETECTED_TEMPORARY_LOST,            WRONG_OBJECT        };        struct ExtObject        {            int id;            cv::Rect location;            ObjectStatus status;            ExtObject(int _id, cv::Rect _location, ObjectStatus _status)                :id(_id), location(_location), status(_status)            {            }        };        virtual void getObjects(std::vector<ExtObject>& 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;        cv::Rect calcTrackedObjectPositionToShow(int i, ObjectStatus& status) const;        void detectInRegion(const cv::Mat& img, const cv::Rect& r, std::vector<cv::Rect>& detectedObjectsInRegions);};//! @} objdetect} //end of cv namespace#endif#endif
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