DocumentCode
2960513
Title
Dual domain auxiliary particle filter with integrated target signature update
Author
Johnston, Colin M. ; Mould, Nick ; Havlicek, Joseph P. ; Fan, Guoliang
Author_Institution
Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA
fYear
2009
fDate
20-25 June 2009
Firstpage
54
Lastpage
59
Abstract
For the first time, we formulate an auxiliary particle filter jointly in the pixel domain and modulation domain for tracking infrared targets. This dual domain approach provides an information rich image representation comprising the pixel domain frames acquired directly from an imaging infrared sensor as well as 18 amplitude modulation functions obtained through a multicomponent AM-FM image analysis. The new dual domain auxiliary particle filter successfully tracks all of the difficult targets in the well-known AMCOM closure sequences in terms of both centroid location and target magnification. In addition, we incorporate the template update procedure into the particle filter formulation to extend previously studied dual domain track consistency checking mechanism far beyond the normalized cross correlation (NCC) trackers of the past by explicitly quantifying the differences in target signature evolution between the modulation and pixel domains. Experimental results indicate that the dual domain auxiliary particle filter with integrated target signature update provides a significant performance advantage relative to several recent competing algorithms.
Keywords
image representation; infrared imaging; particle filtering (numerical methods); target tracking; AM-FM image analysis; AMCOM; centroid location; dual domain auxiliary particle filter; image representation; imaging infrared sensor; integrated target signature update; normalized cross correlation trackers; target magnification; Filtering; Image representation; Infrared detectors; Infrared sensors; Object detection; Optical computing; Particle filters; Particle tracking; Pixel; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
Conference_Location
Miami, FL
ISSN
2160-7508
Print_ISBN
978-1-4244-3994-2
Electronic_ISBN
2160-7508
Type
conf
DOI
10.1109/CVPRW.2009.5204143
Filename
5204143
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