modules/video/src/video_init.cpp

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  42
  43 #include "precomp.hpp"
  44 #include "opencv2/video/video.hpp"
  45
  46 namespace cv
  47 {
  48
  49 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
  50
  51 CV_INIT_ALGORITHM(BackgroundSubtractorMOG, "BackgroundSubtractor.MOG",
  52     obj.info()->addParam(obj, "history", obj.history);
  53     obj.info()->addParam(obj, "nmixtures", obj.nmixtures);
  54     obj.info()->addParam(obj, "backgroundRatio", obj.backgroundRatio);
  55     obj.info()->addParam(obj, "noiseSigma", obj.noiseSigma))
  56
  57 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
  58
  59 CV_INIT_ALGORITHM(BackgroundSubtractorMOG2, "BackgroundSubtractor.MOG2",
  60     obj.info()->addParam(obj, "history", obj.history);
  61     obj.info()->addParam(obj, "nmixtures", obj.nmixtures);
  62     obj.info()->addParam(obj, "varThreshold", obj.varThreshold);
  63     obj.info()->addParam(obj, "detectShadows", obj.bShadowDetection);
  64     obj.info()->addParam(obj, "backgroundRatio", obj.backgroundRatio);
  65     obj.info()->addParam(obj, "varThresholdGen", obj.varThresholdGen);
  66     obj.info()->addParam(obj, "fVarInit", obj.fVarInit);
  67     obj.info()->addParam(obj, "fVarMin", obj.fVarMin);
  68     obj.info()->addParam(obj, "fVarMax", obj.fVarMax);
  69     obj.info()->addParam(obj, "fCT", obj.fCT);
  70     obj.info()->addParam(obj, "nShadowDetection", obj.nShadowDetection);
  71     obj.info()->addParam(obj, "fTau", obj.fTau))
  72
  73 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
  74
  75 CV_INIT_ALGORITHM(BackgroundSubtractorGMG, "BackgroundSubtractor.GMG",
  76                   obj.info()->addParam(obj, "maxFeatures", obj.maxFeatures,false,0,0,
  77                                        "Maximum number of features to store in histogram. Harsh enforcement of sparsity constraint.");
  78                   obj.info()->addParam(obj, "learningRate", obj.learningRate,false,0,0,
  79                                        "Adaptation rate of histogram. Close to 1, slow adaptation. Close to 0, fast adaptation, features forgotten quickly.");
  80                   obj.info()->addParam(obj, "initializationFrames", obj.numInitializationFrames,false,0,0,
  81                                        "Number of frames to use to initialize histograms of pixels.");
  82                   obj.info()->addParam(obj, "quantizationLevels", obj.quantizationLevels,false,0,0,
  83                                        "Number of discrete colors to be used in histograms. Up-front quantization.");
  84                   obj.info()->addParam(obj, "backgroundPrior", obj.backgroundPrior,false,0,0,
  85                                        "Prior probability that each individual pixel is a background pixel.");
  86                   obj.info()->addParam(obj, "smoothingRadius", obj.smoothingRadius,false,0,0,
  87                                        "Radius of smoothing kernel to filter noise from FG mask image.");
  88                   obj.info()->addParam(obj, "decisionThreshold", obj.decisionThreshold,false,0,0,
  89                                        "Threshold for FG decision rule. Pixel is FG if posterior probability exceeds threshold.");
  90                   obj.info()->addParam(obj, "updateBackgroundModel", obj.updateBackgroundModel,false,0,0,
  91                                        "Perform background model update."))
  92
  93 bool initModule_video(void)
  94 {
  95     bool all = true;
  96     all &= !BackgroundSubtractorMOG_info_auto.name().empty();
  97     all &= !BackgroundSubtractorMOG2_info_auto.name().empty();
  98     all &= !BackgroundSubtractorGMG_info_auto.name().empty();
  99
 100     return all;
 101 }
 102
 103 }