Adaptive tracking of dynamic airborne vehicles based on (flir) image plane intensity data
作者： Peter S. Maybeck
DOI: 10.1007/BFB0041172
关键词:
摘要: In the recent past, capability of tracking dynamic targets from forward looking infrared (FLIR) measurements has been improved substantially by replacing standard correlation trackers with adaptive extended Kalman filters or enhanced correlator/Kalman filter combinations. This research investigates a tracker able to handle "multiple hot-spot" targets, in which digital and/or optical signal processing is employed on FLIR data identify underlying target shape. Furthermore, multiple model filtering investigated as means changing field-of-view well bandwidth when acceleration can vary over wide range. The performance potential such algorithm shown be substantial.
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