背景建模技术：帧处理（FrameProcessor）模块

本文链接：https://blog.youkuaiyun.com/lliming2006/article/details/75507053

本文详细介绍了帧处理模块，这是背景建模算法的核心接口，涉及到多种背景建模算法的调用，包括帧差分、加权移动平均、高斯混合模型等。通过配置文件动态启用或禁用不同的算法，并记录处理时间，提供配置保存和加载功能。

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这篇文章是我从自己的QQ（632846506）日志中移过来的。https://user.qzone.qq.com/632846506/infocenter。

本文将简单介绍帧处理模块，即对每一帧进行处理的函数，也就是真正调用背景建模算法的接口处。
下面贴出源码供大家分析：

#include "FrameProcessor.h"

#include <iomanip>

namespace bgslibrary

{

FrameProcessor::FrameProcessor() : firstTime(true), frameNumber(0), duration(0), tictoc(""), frameToStop(0)

{

std::cout << "FrameProcessor()" << std::endl;

loadConfig();

saveConfig();

}

FrameProcessor::~FrameProcessor()

{

std::cout << "~FrameProcessor()" << std::endl;

}

void FrameProcessor::init()

{

if (enablePreProcessor)

preProcessor = new PreProcessor;

if (enableFrameDifferenceBGS)

frameDifference = new FrameDifferenceBGS;

if (enableStaticFrameDifferenceBGS)

staticFrameDifference = new StaticFrameDifferenceBGS;

if (enableWeightedMovingMeanBGS)

weightedMovingMean = new WeightedMovingMeanBGS;

if (enableWeightedMovingVarianceBGS)

weightedMovingVariance = new WeightedMovingVarianceBGS;

if (enableMixtureOfGaussianV1BGS)

mixtureOfGaussianV1BGS = new MixtureOfGaussianV1BGS;

if (enableMixtureOfGaussianV2BGS)

mixtureOfGaussianV2BGS = new MixtureOfGaussianV2BGS;

if (enableAdaptiveBackgroundLearning)

adaptiveBackgroundLearning = new AdaptiveBackgroundLearning;

#if CV_MAJOR_VERSION >= 2 && CV_MINOR_VERSION >= 4 && CV_SUBMINOR_VERSION >= 3

if (enableGMG)

gmg = new GMG;

#endif

if (enableDPAdaptiveMedianBGS)

adaptiveMedian = new DPAdaptiveMedianBGS;

if (enableDPGrimsonGMMBGS)

grimsonGMM = new DPGrimsonGMMBGS;

if (enableDPZivkovicAGMMBGS)

zivkovicAGMM = new DPZivkovicAGMMBGS;

if (enableDPMeanBGS)

temporalMean = new DPMeanBGS;

if (enableDPWrenGABGS)

wrenGA = new DPWrenGABGS;

if (enableDPPratiMediodBGS)

pratiMediod = new DPPratiMediodBGS;

if (enableDPEigenbackgroundBGS)

eigenBackground = new DPEigenbackgroundBGS;

if (enableDPTextureBGS)

textureBGS = new DPTextureBGS;

if (enableT2FGMM_UM)

type2FuzzyGMM_UM = new T2FGMM_UM;

if (enableT2FGMM_UV)

type2FuzzyGMM_UV = new T2FGMM_UV;

if (enableT2FMRF_UM)

type2FuzzyMRF_UM = new T2FMRF_UM;

if (enableT2FMRF_UV)

type2FuzzyMRF_UV = new T2FMRF_UV;

if (enableFuzzySugenoIntegral)

fuzzySugenoIntegral = new FuzzySugenoIntegral;

if (enableFuzzyChoquetIntegral)

fuzzyChoquetIntegral = new FuzzyChoquetIntegral;

if (enableLBSimpleGaussian)

lbSimpleGaussian = new LBSimpleGaussian;

if (enableLBFuzzyGaussian)

lbFuzzyGaussian = new LBFuzzyGaussian;

if (enableLBMixtureOfGaussians)

lbMixtureOfGaussians = new LBMixtureOfGaussians;

if (enableLBAdaptiveSOM)

lbAdaptiveSOM = new LBAdaptiveSOM;

if (enableLBFuzzyAdaptiveSOM)

lbFuzzyAdaptiveSOM = new LBFuzzyAdaptiveSOM;

if (enableLbpMrf)

lbpMrf = new LbpMrf;

if(enableMultiLayerBGS)

multiLayerBGS = new MultiLayerBGS;

//if(enablePBAS)

// pixelBasedAdaptiveSegmenter = new PixelBasedAdaptiveSegmenter;

if (enableVuMeter)

vuMeter = new VuMeter;

if (enableKDE)

kde = new KDE;

if (enableIMBS)

imbs = new IndependentMultimodalBGS;

if (enableMultiCueBGS)

mcbgs = new SJN_MultiCueBGS;

if (enableSigmaDeltaBGS)

sdbgs = new SigmaDeltaBGS;

if (enableSuBSENSEBGS)