Development of Intelligent Surveillance System Using Stationary Camera for Multi-Target-Based Object Tracking

다중영역기반의 객체추적을 위한 고정형 카메라를 이용한 지능형 감시 시스템 개발

  • Im, Jae-Hyun (Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University) ;
  • Kim, Tae-Kyung (Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University) ;
  • Choi, Kwang-Yong (LG CNS U-Component Tech. Group Solution BU IT Research Division) ;
  • Han, In-Kyo (LG CNS U-Component Tech. Group Solution BU IT Research Division) ;
  • Paik, Joon-Ki (Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
  • 임재현 (중앙대학교 첨단영상대학원) ;
  • 김태경 (중앙대학교 첨단영상대학원) ;
  • 최광용 (LG CNS 솔루션사업본부 기술연구부문 U-Component Tech. 그룹) ;
  • 한인교 (LG CNS 솔루션사업본부 기술연구부문 U-Component Tech. 그룹) ;
  • 백준기 (중앙대학교 첨단영상대학원)
  • Published : 2008.06.18

Abstract

In this paper, we introduce the multi-target-based auto surveillance algorithm. Multi-target-based surveillance system detects intrusion objects in the specified areas. The proposed algorithm can divide into two parts: i) background generation, ii) object extraction. In this paper, one of the optical flow equation methods for estimation of gradient method used to generate the background [2]. In addition, the objects and back- ground video images that are continually entering the differential extraction.

Keywords