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+/*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 > 199711L) || (defined(_MSC_VER) && _MSC_VER >= 1700)
+
+#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