Means of face identification based on immunocomputing

The purpose of this research is to identify possibilities for scientific-methodological immunocomputing framework utilization in tasks dealing with face identification in video surveillance systems. Immunocomputing studies the principles of flat information processing in order to solve complex practical problems. One of the most commonly solved problems with immunocomputing is the object identification problem. In order to determine the connection between objects and within the mentioned problems, a concept of bond energy, which is used as an analogue to distance between the objects, is used. Current talk defines goals, problems and expected outcomes of research.