Dual-band ATR for forward-looking infrared images

Author

Dainty, P. ; Boyce, J.F. ; Dimitropoulos, C.H. ; Edmundson, P. ; Toulson, D.L. ; Bernhardt, M.

Author_Institution

Wheatstone Phys. Lab., King´´s Coll., London, UK

fYear

1999

fDate

1999

Firstpage

23

Lastpage

29

Abstract

Three aspects of object recognition and tracking are evaluated on forward-looking infrared data from two wavebands. The combination of a correlator with a Kalman filter and a neural network embedded within the tracking loop is shown to increase true recognitions and decrease false recognitions. Large training sets may be reduced by condensing via a k-nearest-neighbour algorithm without significant loss of network performance. Systems combining information from the two wavebands show only a slight improvement over the best single band channel

Keywords

Kalman filters; infrared imaging; neural nets; object recognition; tracking; Kalman filter; correlator; dual-band ATR; forward-looking infrared images; k-nearest-neighbour algorithm; neural network; object recognition; tracking; training sets; wavebands; Dual band; Electrical capacitance tomography; Filters; Image recognition; Image sequences; Inertial navigation; Infrared imaging; Read only memory; Target tracking; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision Beyond the Visible Spectrum: Methods and Applications, 1999. (CVBVS '99) Proceedings. IEEE Workshop on

Conference_Location

Fort Collins, CO

Print_ISBN

0-7695-0050-1

Type

conf

DOI

10.1109/CVBVS.1999.781091

Filename

781091