A New Human Identification Method for Intelligent Video Surveillance System

Abstract

Recently, the use of security surveillance system including CCTV is increasing due to the increase of terrors and crimes. However as the data recorded through the video surveillance system is exposed, the invasion of privacy is raised. The studies on the technology of protecting privacy from the surveillance system in addition to these organizations are actively carried out. To distinguish the human of privacy protection, the identification technique is necessary. This paper proposes the human identification method that uses height and clothing-color information appropriate for the intelligent video surveillance system based on smartcard. It can obtain reliable feature information using smartcard. In this paper, representative colors are extracted by applying octree-based color quantization technique to the clothing region and height is extracted from the geometrical information of the images. Identification is accomplished by comparing the similarities between two data based on Euclidean distance. From the experiment, we could see that the identification of a human can be checked through the proposed system.