簡單的blob檢測與kinect SDK

據我瞭解官方Kinect 1.5 SDK，它帶有人臉跟蹤和骨架跟蹤。如何簡單的斑點檢測？我想要做的就是跟蹤一個圓形/橢圓形物體。我在SDK中找不到任何代碼，那麼我應該使用opencv還是其他一些庫？簡單的blob檢測與kinect SDK

（我的代碼是在C++）

EDIT1是它可以調諧臉部跟蹤器所以它會檢測在一般（而不是面）輪形狀？

EDIT2 這裏是深入處理SDK附帶示例的代碼。我如何讓OpenCV從中提取blob？

void CDepthBasics::ProcessDepth() 
{ 
    HRESULT hr; 
    NUI_IMAGE_FRAME imageFrame; 

    // Attempt to get the depth frame 
    hr = m_pNuiSensor->NuiImageStreamGetNextFrame(m_pDepthStreamHandle, 0, &imageFrame); 
    if (FAILED(hr)) 
    { 
     return; 
    } 

    INuiFrameTexture * pTexture = imageFrame.pFrameTexture; 
    NUI_LOCKED_RECT LockedRect; 

    // Lock the frame data so the Kinect knows not to modify it while we're reading it 
    pTexture->LockRect(0, &LockedRect, NULL, 0); 

    // Make sure we've received valid data 
    if (LockedRect.Pitch != 0) 
    { 
     BYTE * rgbrun = m_depthRGBX; 
     const USHORT * pBufferRun = (const USHORT *)LockedRect.pBits; 

     // end pixel is start + width*height - 1 
     const USHORT * pBufferEnd = pBufferRun + (cDepthWidth * cDepthHeight); 

     while (pBufferRun < pBufferEnd) 
     { 
      // discard the portion of the depth that contains only the player index 
      USHORT depth = NuiDepthPixelToDepth(*pBufferRun); 

      // to convert to a byte we're looking at only the lower 8 bits 
      // by discarding the most significant rather than least significant data 
      // we're preserving detail, although the intensity will "wrap" 
      BYTE intensity = static_cast<BYTE>(depth % 256); 

      // Write out blue byte 
      *(rgbrun++) = intensity 

      // Write out green byte 
      *(rgbrun++) = intensity; 

      // Write out red byte 
      *(rgbrun++) = intensity; 

      // We're outputting BGR, the last byte in the 32 bits is unused so skip it 
      // If we were outputting BGRA, we would write alpha here. 
      ++rgbrun; 

      // Increment our index into the Kinect's depth buffer 
      ++pBufferRun; 

     } 

     // Draw the data with Direct2D 
     m_pDrawDepth->Draw(m_depthRGBX, cDepthWidth * cDepthHeight * cBytesPerPixel); 
    } 

    // We're done with the texture so unlock it 
    pTexture->UnlockRect(0); 

    // Release the frame 
    m_pNuiSensor->NuiImageStreamReleaseFrame(m_pDepthStreamHandle, &imageFrame); 
}

來源

2012-09-21 memyself

圖像處理庫結果。

您可以使用OpenCV的Hough Circle Transform來檢測圓圈。您可能需要先將Kinect圖像格式轉換爲cv :: Mat。

我想象OpenCV不是唯一具有該功能的庫。如果你有興趣，一般查找Hough變換。

我不認爲調整面部追蹤器是最好的方法。

來源

2012-09-21 11:29:40

謝謝。我已經添加了SDK附帶的示例性深度處理代碼。我將如何改變代碼，讓OpenCV對它進行Hough轉換？ – memyself

個人而言，我還沒有使用過Kinect SDK（因爲它只在Windows 7上運行），但簡單的搜索應該有所幫助。例如[Dennis Ippel的博客文章]（http://www.rozengain.com/blog/2012/08/01/using-opencv-2-with-kinect-sdk-1-5/）或這篇[wiki文章來自卡內基梅隆大學]（http://wiki.etc.cmu.edu/unity3d/index.php/OpenCV_with_Kinect_-_Windows_SDK）（重點放在Unity整合之前的部分）。 HTH –

你可以使用這個，因爲OpenCV的可悲本身並不支持處理斑點：一旦你已經得到了你從Kinect的需要的圖像隨意使用任何

http://opencv.willowgarage.com/wiki/cvBlobsLib

來源

2012-09-21 11:28:05

簡單的blob檢測與kinect SDK

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