A video surveillance method based on information granularity

摘要

This article presents a surveillance system composed of video cameras. A localization is made using the information obtained from video cameras and the proper set of attributes is selected. An uncertainty measurement is performed based on the similarity with the nearest prototype and the dissimilarity from the rest of prototypes. The best granularity is also determined.