Detecting human face from monocular image sequences by genetic algorithms

This work investigates a new approach to detect human face from monocular image sequences. Our method consists of two main search procedures, both using genetic algorithms. The first one is to find a head inside the scene and the second one is to identify the existence of face within the extracted head area. For this purpose, we have developed two models to be used as a tool to calculate the fitness for each observation in the search procedure: one is a head model which is approached by an ellipse and the other is a face template the size of which is adjustable. The procedures work sequentially. The head search is activated first, and after the head area is found, the face identification is activated. The experiment demonstrates the effectiveness of the method.