Facial recognition for multi-stream video using high probability group and facial network of related persons

A computer program product, comprising a tangible machine-readable storage medium having encoded therein executable code of one or more software programs, wherein the one or more software programs when executed by at least one processing device perform the following steps:

• maintaining a probability-based database of facial images comprising a subset of individuals from a first database of facial images of a plurality of individuals, wherein the subset is obtained based on a probability of individuals appearing in one or more sequences of image frames at a given time;
• applying a face detection algorithm to at least one of the sequences of image frames to identify one or more faces in the one or more sequences of image frames;
• maintaining a facial network of related persons associated with the probability-based database by obtaining one or more facial images of one or more additional individuals from the first database of images that satisfy a predefined related person criteria with respect to one or more individuals identified in at least one of the sequences of image frames;
• and
• applying a facial recognition to at least one of the sequences of image frames using at least the probability-based database and the facial network of related persons to identify one or more individuals in the at least one sequence of image frames.

An apparatus, comprising:

• a memory;
• and
• at least one processing device, coupled to the memory, operative to implement the following steps:
• maintaining a probability-based database of facial images comprising a subset of individuals from a first database of facial images of a plurality of individuals, wherein the subset is obtained based on a probability of individuals appearing in one or more sequences of image frames at a given time;
• applying a face detection algorithm to at least one of the sequences of image frames to identify one or more faces in the one or more sequences of image frames;
• maintaining a facial network of related persons associated with the probability-based database by obtaining one or more facial images of one or more additional individuals from the first database of images that satisfy a predefined related person criteria with respect to one or more individuals identified in at least one of the sequences of image frames;
• and
• applying a facial recognition to at least one of the sequences of image frames using at least the probability-based database and the facial network of related persons to identify one or more individuals in the at least one sequence of image frames.