1. A method comprising: tracking, by a computer apparatus, a facial image with varying appearances in a plurality of image frames of a video signal; and identifying, by the computer apparatus, a known facial image as potentially associated with the tracked facial image with varying appearances upon meeting an identification condition, wherein the identifying comprises: determining, by the computer apparatus, a set of candidate regions from a plurality of areas, wherein the plurality of areas spans an entirety of the tracked facial image with varying appearances, and wherein each candidate region of the set of candidate regions comprises varying combinations of the areas, selecting, by the computer apparatus, a set of facial regions from the set of candidate regions based on a result of a machine learning process, extracting, by the computer apparatus, facial feature data from a subset of facial regions of the tracked facial image with varying appearances, and determining, by the computer apparatus, whether a number of associations of the tracked facial image with varying appearances to a number of known facial images, based on the extracted facial feature data in the subset of facial regions, exceeds a predetermined threshold across the varying appearances, and wherein the identification condition is based at least in part on the determined associations.