표적 가림 예측에 의한 기억추적 알고리즘 개발 및 구현 = Design of Autocoast Tracking Algorithm by the Prediction of Target Occlusion and its On-Based Implementation

다국어 초록 (Multilingual Abstract)

In this paper, the Autocoast algorithm is proposed for EOTS to overcome the target occlusion status. Coast mode, one of tracking modes, is to maintain the servo slew rate with the tracking rate right before the loss of track. The Autocoast algorithm makes decision of entering coast mode by the prediction of target occlusion and tries to refind target after the coast time. This algorithm composes of 3 steps, the first step is the prediction process of the occlusion by target-like background, the second one is the check process of the occlusion happened after background intensity variation, and the last one is the process of refinding target. The result of computer simulation, test under laboratory, and real test with EOTS shows the applicability for the automatic video tracking system.

참고문헌 (Reference)

1 장광일, "표적획득 추적기술 연구-영상추적기 개선" 국방과학연구소 2004

2 강재열, "표적획득 추적기술 연구(II)-복합영상추적기 구현" 국방과학연구소 2000

3 김소현, "표적자동탐지 알고리즘의 구현및 체계 적용" 국방과학연구소 2007

4 장광일, "적응형 영상추적기 개념 및 초기단계 자동탐지 모사" 2003