A robust visual supervision method for the home learning state of a child. By dividing a collected image to obtain an ROI, and carrying out fine detection and recognition, the amount of input data can be reduced, the processing efficiency is improved, and the processing speed is increased; and then, in conjunction with deep learning, geometric fusion detection, ROI tracking, and filtering and noise cancellation operations, the anti-disturbance capability can be improved when a light change and a posture change occur, thereby improving the precision of facial recognition.
ROBUST VISUAL SUPERVISION METHOD AND APPARATUS FOR HOME LEARNING STATE OF CHILD