Weighted statistical model for non-rigid image objects detection

A new weighted statistical model is presented for detecting non-rigid image targets. In the detection or matching stage, a modified GA (genetic algorithm) is presented to solve the problem of adaptability to scaling, position and tilted angles. We demonstrate our WSM model on the practical human face detection problem. Some results are presented.