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Volumn 45, Issue 2, 2009, Pages 723-734

A novel ego-motion compensation strategy for automatic target tracking in FLIR video sequences taken from UAVs

Author keywords

Aircraft; Atmospheric modeling; Cameras; Monitoring; Target tracking; Tracking; Unmanned aerial vehicles

Indexed keywords

AIRBORNE PLATFORMS; ATMOSPHERIC MODELING; AUTOMATIC TARGET TRACKING; CANDIDATE TARGET; EGO-MOTION; EGO-MOTION COMPENSATION; FORWARD LOOKING INFRARED; ROBUST ALGORITHM; SUB-FRAME; TRACKING; TRACKING FAILURE; VIDEO SEQUENCES;

EID: 67650504134     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAES.2009.5089552     Document Type: Article
Times cited : (16)

References (19)
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  • 7
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    • Target tracking in infrared imagery using weighted composite reference function-based decision fusion
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    • Dawoud, A., Alam, M. S., Bal, A., and Loo, C. Target tracking in infrared imagery using weighted composite reference function-based decision fusion. IEEE Transactions on Image Processing, 15, 2 (Feb. 2006), 404-410.
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    • Foroosh (Shekarforoush), H., and Chellappa, R. A multi-fractal formalism for stabilization, object detection and tracking in FLIR sequences. In Proceedings of the International Conference on Image Processing, III, 2000, 78-81.
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    • Tracking in airborne forward looking infrared imagery
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.