DocumentCode :
3587631
Title :
Robust dual-band MWIR/LWIR infrared target tracking
Author :
Nguyen, Chuong T. ; Havlicek, Joseph P. ; Fan, Guoliang ; Caulfield, John T. ; Pattichis, Marios S.
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA
fYear :
2014
Firstpage :
78
Lastpage :
83
Abstract :
We introduce an SIR particle filter for tracking civilian targets including vehicles and pedestrians in dual-band midwave/longwave infrared imagery as well as a novel dual-band track consistency check for triggering appearance model updates. Because of the paucity of available dual-band data, we constructed a custom sensor to acquire the test sequences. The proposed algorithm is robust against magnification changes, aspect changes, and clutter and successfully tracked all 17 cases tested, including two partial occlusions. Future work is needed to comprehensively evaluate performance of the algorithm against state-of-the-art video trackers, especially considering the relatively small number of previous dual-band tracking results that have appeared.
Keywords :
infrared detectors; optical tracking; particle filtering (numerical methods); target tracking; LWIR; MWIR; SIR particle filter; civilian target tracking; dual-band tracking; infrared imagery; infrared target tracking; partial occlusions; video trackers; Clutter; Computers; Dual band; Logic gates; Object detection; Target tracking; Vehicles; dual-band infrared; sensor fusion; target detection and tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2014 48th Asilomar Conference on
Print_ISBN :
978-1-4799-8295-0
Type :
conf
DOI :
10.1109/ACSSC.2014.7094401
Filename :
7094401
Link To Document :
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