This example shows how to detect and track cars in a video sequence using optical flow estimation.
The following figure shows the Tracking Cars Using Optical Flow model:
Tracking Cars Using Optical Flow Results
The model uses an optical flow estimation technique to estimate the motion vectors in each frame of the video sequence. By thresholding and performing morphological closing on the motion vectors, the model produces binary feature images. The model locates the cars in each binary feature image using the Blob Analysis block. Then it uses the Draw Shapes block to draw a green rectangle around the cars that pass beneath the white line. The counter in the upper left corner of the Results window tracks the number of cars in the region of interest.
Available Example Versions
Some compressed multimedia files are only supported on Windows platforms. The examples that use these types of files can only be run on Windows.