1. A method for processing video data, comprising: detecting human faces in a plurality of video frames in said video data using a processor; for at least one detected human face, identifying a face-specific set of video frames using said processor, irrespective of whether said detected human face is present in said face-specific set of video frames in a substantially temporally continuous manner; grouping video frames in said face-specific set of video frames into a plurality of face tracks using said processor, wherein each face track contains corresponding one or more video frames having at least a substantial temporal continuity therebetween; using said processor, merging two or more of said plurality of face tracks that are disjoint in time using a face recognition method based on a Bayesian Network based classifier, wherein the Bayesian Network based classifier is constructed based on a ratio of a plurality of Bayesian networks and each of said Bayesian networks is a probability distribution representation derived from dependencies among video input variables that statistically depend upon each other; and enabling a user to view on an electronic display face-specific video segments of said at least one detected human face in said video data based on said merging of temporally disjoint face tracks.
1. A method for processing video data, comprising: detecting human faces in a plurality of video frames in said video data using a processor; for at least one detected human face, identifying a face-specific set of video frames using said processor, irrespective of whether said detected human face is present in said face-specific set of video frames in a substantially temporally continuous manner; grouping video frames in said face-specific set of video frames into a plurality of face tracks using said processor, wherein each face track contains corresponding one or more video frames having at least a substantial temporal continuity therebetween; using said processor, merging two or more of said plurality of face tracks that are disjoint in time using a face recognition method based on a Bayesian Network based classifier, wherein the Bayesian Network based classifier is constructed based on a ratio of a plurality of Bayesian networks and each of said Bayesian networks is a probability distribution representation derived from dependencies among video input variables that statistically depend upon each other; and enabling a user to view on an electronic display face-specific video segments of said at least one detected human face in said video data based on said merging of temporally disjoint face tracks. 14. The method of claim 1 , further comprising: using said processor, determining movement of said at least one detected human face in said face-specific video segments associated therewith using a three-dimensional coordinate system.