적외선 연속 영상에서 다중 소형 표적 추적 알고리즘
Multi-Small Target Tracking Algorithm in Infrared Image Sequences
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참고문헌
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초록
본 논문은 적외선 연속 영상에서 배경 추정 필터와 칼만 필터, 평균 이동 알고리즘을 사용하여 다중 소형 표적들의 소멸과 생성 시에도 표적들의 위치를 추적하는 시스템을 제안한다. 배경 추정 영상과 원 영상과의 차 영상을 사용해서 정지 영상에서의 표적 후보를 구하고, 칼만 필터와 후보 표적의 분류를 이용하여 다중 표적을 추적 한다. 마지막으로 평균 이동 알고리즘을 사용하여 표적들의 세부 위치를 조정한다. 실험을 통하여 배경 추정 필터들의 성능을 비교‧분석하였고, 제안하는 알고리즘이 기존의 추적 시스템과 비교하여 안정적으로 추적이 됨을 확인하였다.
Abstract
In this paper, we propose an algorithm to track multi-small targets in infrared image sequences in case of dissipation or creation of targets by using the background estimation filter, Kalman filter and mean shift algorithm. We detect target candidates in a still image by subtracting an original image from an background estimation image, and we track multi-targets by using Kalman filter and target selection. At last, we adjust specific position of targets by using mean shift algorithm. In the experiments, we compare the performance of each background estimation filters, and verified that proposed algorithm exhibits better performance compared to classic methods.
참고문헌 (15)
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