Personal Identification using Appearance Information for Surveillance System

Abstract

The implementation of surveillance systems are mostly not yet equipped with automatic feature for object identification. Since the object of surveillance system is mostly to monitor human activity and it captures human appearance from various angles, this paper proposed serial methods to identify personal appearance in the surveillance video without employing face recognition. The process starts from the object region extraction, image segmentation, and features extraction. The only information to optimize is based on the object appearance that is processed to obtain any possible features, for example clothing, hair and skin color. These features are then used for personal identification.