1. A computer-implemented method, comprising: obtaining, by at least one processor, a plurality of frames having a visual representation of a face of at least one person; applying, by the at least one processor, for each frame, at least one multi-dimensional face detection regressor for fitting at least one meta-parameter to detect or to track a plurality of multi-dimensional landmarks that are representative of a presence of a face of at least one person in each respective frame; separating, by the at least one processor, for each frame in the plurality of frames, the face of the at least one person from a background based on utilizing at least one deep learning algorithm; applying, by the at least one processor, for each frame in the plurality of frames, at least one face movement detection algorithm to identify each displacement of each respective multi-dimensional landmark of the plurality of multi-dimensional landmarks between frames; applying, by the at least one processor, for each two sequential frames in the plurality of frames, at least one face movement compensation algorithm that is configured to at least: i) determine that a current displacement value of at least one respective multi-dimensional landmark of the plurality of multi-dimensional landmarks between two sequential frames exceeds a pre-determined threshold value, and ii) re-draw the face of the at least one person for a particular frame of the two sequential frames, in which the current displacement value exceeds the pre-determined threshold value, to reduce the current displacement value of the at least one respective multi-dimensional landmark to an updated displacement value that is less than the pre-determined threshold value to generate a re-drawn face of the at least one person; wherein the pre-determined threshold value is between 1 and 20 Hz; and combining, by the at least one processor, the re-drawn face of the at least one person in the particular frame of the two sequential frames with the background to generate a face movement compensated output that stabilizes the visual representation of the face of the at least one person between the two sequential frames of the plurality of frames.