Solving a dress problem for a human model recognition

An approach to recognize a human posture automatically is presented in this paper along with the investigation of a dress effect due to change of wearing dresses. The approach uses an appearance-based eigenspace technique, and augments it by employing blurred-edge operations over original images for reducing dress effect in eigenspace. The proposed blurred-edge operations confirm the expected recognition rate overcoming the dress effect, and related experiment is performed employing a human model wearing various dresses.