A study on improvement of vision-based traffic condition analysis system by comparing feature data of images

Despite the vision-based traffic condition analysis system provides better data quality than those of traditional UTS-based applications, it still have a problem of inefficiency because it handles commonly large size of video data. In this paper, we designed a feature-based image examining method to reduce the load of the vision-based application by measuring similarity of feature data before handling the original data.