资源简介
kcf目标跟踪代码c++(直接在vs2010+opencv3上面运行就可以),不是调用opencv里面现成的函数,放心下载的。
代码片段和文件信息
/*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) 2010-2013 University of Nizhny Novgorod 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.
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//M*/
//Modified from latentsvm module‘s “lsvmc_featurepyramid.cpp“.
//#include “precomp.hpp“
//#include “_lsvmc_latentsvm.h“
//#include “_lsvmc_resizeimg.h“
#include “fhog.hpp“
#ifdef HAVE_TBB
#include
#include “tbb/parallel_for.h“
#include “tbb/blocked_range.h“
#endif
#ifndef max
#define max(ab) (((a) > (b)) ? (a) : (b))
#endif
#ifndef min
#define min(ab) (((a) < (b)) ? (a) : (b))
#endif
/*
// Getting feature map for the selected subimage
//
// API
// int getFeatureMaps(const IplImage * image const int k featureMap **map);
// INPUT
// image - selected subimage
// k - size of cells
// OUTPUT
// map - feature map
// RESULT
// Error status
*/
int getFeatureMaps(const IplImage* image const int k CvLSVMFeatureMapCaskade **map)
{
int sizeX sizeY;
int p px stringSize;
int height width nu
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