Visualizing the OpenCV Detection Process

This video visualizes the detection process of OpenCV’s face detector. The algorithm utilizes the Viola Jones method of calculating the integral image and then performing some calculations on all the areas defined by the black and white rectangles. The sub-window (in red) is scanned across the image at various scales to detect if there is a potential face. In the post-processing stage all the potential faces are checked for overlaps. Typically, 2 or 3 overlapping rectangles are required to confirm a face. Loner rectangles are rejected as false-positives.
This visualization was done as part of the documentation for CV Dazzle, camouflage from face detection. For more information, visit http://cvdazzle.com