| Summary: | 碩士 === 銘傳大學 === 資訊工程學系碩士班 === 98 === Data collection about the effect on the advertisement spends a lot of
manpower and material resources in market survey. In order to reduce the
cost, this study develops an automatic pedestrians classify system for
advertisements standing in the roadside. The system also evaluates
advertisement concern from the pedestrian’s walking speed.
The system catches the pedestrian’s movement by 3 webcams and
extracts color and space features from a pedestrian’s hair, dress, speed,
height and other characteristics of while walking using image processing
methods. By these 14 extracted features, the system used fuzzy rules to
determine the membership of 8 classes of age and gender. The
advertisement concern is also evaluated into three degrees. Finally, the
efficiency and effectiveness of the proposed methods have been showed
by various experiments in real cases.
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