| IIR Target Initiation and Tracking using the HPDAF with Feature Information |
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Yun-Sik Jung, Taek-Lyul Song |
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Hanyang University |
| 특징정보를 고려한 HPDAF를 이용한 적외선 영상 표적 탐지 및 추적기법 연구 |
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정윤식, 송택렬 |
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한양대학교 전자전기제어계측공학과 |
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| Abstract |
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In this paper, a dynamical filter called the Highest Probability Data Association Filter(HPDAF) improved by adding target feature information is proposed for robust target detection and tracking in clutter. IIR contains 2-dimensional kinematic coordinate, intensity, and feature information. In data association of the HPDAF for track initiation, feature information is utilized in addition to coordinate and intensity information. The performance of the proposed HPDA algorithm is tested and compared with the conventional HPDAF algorithm for track initiation by a series of Monte Carlo simulation runs for a 3-dimensional missile-target engagement. scenario. |
| Key Words:
HPDA, Morphology, IIR, Dyanmic Filter, Feature Information |
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