Gunnery Detection Method Using Reference Frame Modeling and Frame Difference

참조 프레임 모델링과 차영상을 이용한 포격 탐지 기법

  • Received : 2012.01.05
  • Accepted : 2012.06.25
  • Published : 2012.07.25


In this paper, we propose the gunnery detection method based on reference frame modeling and frame difference method. The frame difference method is basic method in target detection, and it's applicable to the detection of moving targets. The goal of proposed method is the detection of gunnery target which has huge variation of energy and size in the time domain. So, proposed method is based on frame difference, and it guarantee real-time processing and high detection performance. In the method of frame difference, it's important to generate reference frame. In the proposed method, reference frame is modeled and updated in real time processing using statistical values for each pixels. We performed the simulation on 73 IR video data that has gunnery targets, and the experimental results showed that the proposed method has 95.7% detection ratio under condition that false alarm is 1 per hour.


Supported by : 한국연구재단


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