/*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__ // After this condition removal update blacklist for bindings: modules/python/common.cmake #if defined(__linux__) || defined(LINUX) || defined(__APPLE__) || defined(__ANDROID__) || \ (defined(__cplusplus) && __cplusplus > 201103L) || (defined(_MSC_VER) && _MSC_VER >= 1700) #include namespace cv { //! @addtogroup objdetect //! @{ class CV_EXPORTS 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& 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 mainDetector, cv::Ptr 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 Object; virtual void getObjects(std::vector& result) const; virtual void getObjects(std::vector& 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& result) const; virtual int addObject(const cv::Rect& location); //returns id of the new object protected: class SeparateDetectionWork; cv::Ptr 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 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 trackedObjects; std::vector weightsPositionsSmoothing; std::vector weightsSizesSmoothing; cv::Ptr cascadeForTracking; void updateTrackedObjects(const std::vector& 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& detectedObjectsInRegions); }; //! @} objdetect } //end of cv namespace #endif #endif