Detecting blobs with cvBlobsLib and tracking blob events across frames

In my previous post we discussed using OpenCV to prepare images for blob detection. We will build upon that foundation by using cvBlobsLib to process our binary images for blobs. A C++ vector object will store our blobs, and the center points and axis-aligned bounding boxes will be computed for each element in this vector. We will define a class that operates on this vector to track our blobs across frames, converting them to an event type. An event will be one of three types, BLOB_DOWN, BLOB_MOVE, Read more [...]

Using OpenCV to process images for blob detection (with SDL and OpenGL for rendering)

In this post I will discuss how you can capture and process images in preparation for blob detection.  A future post will discuss the process of detecting and tracking blobs as well as fiducials, but here we are concerned with extracting clean binary images that will be passed to our detector module.  We will use OpenCV's VideoCapture class to extract images from our capture device and then pass these images through a series of filters so that we end up with a binary image like below. We Read more [...]