A video target detect project based on color, shape, SURF with robust detection accuracy.

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1. Requirements:

• Microsoft Visual Studio 2013
• OPENCV2.4.9

2. Configure Windows:

• Add new user variable, name:“OPENCV2_DIR”, value: "C:\opencv\build"(or other path that you installed OPENCV2.4.9)
• Select Path(create one if does not exist), add: ";%OPENCV2_DIR%\x86\vc12\bin"

3. Configure Visual Studio Project:

configure either in debug or release

• Create new C++ project(File > Project... > Visual C++ > Win32 Console Application)

• Open "Project Properties"(Solution Explorer > Properties > Configuration > All Configuration)

• Select "Additional Include Directories"(Configuration Properties > C/C++ > General), add "$(OPENCV2_DIR)\Include" in right section

• Select "Additional Library Directories"(Configuration Properties > C/C++ > Linker > General), add "$(OPENCV2_DIR)\x86\vc12\lib"

• Select "Additional Dependencies"(Configuration Properties > C/C++ > Linker > Input ), add:(for release just remove "d" before "." in filename)

  opencv_contrib249d.lib
  opencv_core249d.lib
  opencv_features2d249d.lib
  opencv_flann249d.lib
  opencv_gpu249d.lib
  opencv_highgui249d.lib
  opencv_imgproc249d.lib
  opencv_legacy249d.lib
  opencv_ml249d.lib
  opencv_nonfree249d.lib
  opencv_objdetect249d.lib
  opencv_ocl249d.lib
  opencv_photo249d.lib
  opencv_stitching249d.lib
  opencv_superres249d.lib
  opencv_ts249d.lib
  opencv_video249d.lib
  opencv_videostab249d.lib

PS: all these libraries (lib files) are not required and you can choose your required library