This example shows how to use sum of absolute differences (SAD) method for detecting motion in a video sequence. This example applies SAD independently to four quadrants of a video sequence. If motion is detected in a quadrant, the example highlights the quadrant in red.
The following figure shows the Motion Detection example model:
Motion Detection Results
If you double-click the Switch block so that the signal is connected to the SAD side, the Video Viewer block displays the SAD values, which represent the absolute value of the difference between the current and previous image. When these SAD values exceed a threshold value, the example highlights the quadrant in red.
Note that the difference image itself may be viewed, in place of the original intensity image, along with the red motion highlighting, which indicates how the SAD metric works.