Mastering OpenCV 4 with Python

Face tracking with the dlib DCF-based tracker

In the face_tracking_correlation_filters.py script, we perform face tracking using the dlib frontal face detector for initialization and the dlib DCF-based tracker DSST for face tracking. In order to initialize the correlation tracker, we execute the following command:

tracker = dlib.correlation_tracker()

This initializes the tracker with default values (filter_size = 6,num_scale_levels = 5, scale_window_size = 23, regularizer_space = 0.001, nu_space = 0.025, regularizer_scale = 0.001, nu_scale = 0.025, and scale_pyramid_alpha = 1.020). A higher value of filter_size and num_scale_levels increases tracking accuracy, but it requires more computational power, increasing CPU processing. The recommended ...