Abstract
A method which automatically generates the descriptions of both static objects and moving elastic objects in dynamic scenes is newly developed. The descriptions consists of parameters of mixture Gaussian distributions, sequentially estimated from the intensity histogram information by means of the EM (Expectation-Maximization) algorithm. Experimental results using indoor and outdoor scenes show the effectiveness of the method. This method is expected to be in use as the first stage of a variety of the object recognition systems applied for various industrial applications, such as visual surveillance, Intelligent Transport System (ITS), intelligent robots and welfare support systems.
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