8012983 학술 문화 관 ( 문화 관 ) 보존 서 고 
 MEE 02006 
 Commercial active camera surveillance systems require a novel algorithm for fast and smooth motion tracking of a fast moving object as well as the improvement of video coding performance . So various algorithms based on displaced frame difference ( DFD ) have been developed due to their relative simplicity . However , they still need large computation for accurate global motion estimation ( GME ) , suffer from noisy DFD , and cannot detect slow object due to the constant frame interval . In this paper , we propose an efficient DFD based motion tracking algorithm consisting of three stages : GME , global motion compensation ( GMC ) , and localization stages . In the GME stage , we choose several confident blocks as reference ones guaranteeing the true global motion . Thereby , the number of search points can be greatly reduced while keeping global motion accuracy . In the GMC stage , we can detect a slow and stationary , or fast object from a DFD . This DFD is obtained by using a previous frame which is properly selected with the proposed double buffering algorithm . Finally , in the localization stage , we extract the moving object area from noisy DFD by using statistics between DFD and the current frame . We implement the proposed algorithm into an active camera system equipped with a pan - tilt unit and a standard PC with an AMD 800 MHz processor . It is proved that the system operates well with a camera rotating speed up to 40 ? sec . It can perform the exhaustive search for a search range of ? 0 , and achieve the processing speed of about 50 frames / sec for an image sequence of 320 x 240 . 
 저자 명 의 영문 표기 : Dong - Goo Kang 
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