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Infrared-image classification using hidden Markov trees

Publication ,  Journal Article
Bharadwaj, P; Carin, L
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence
October 1, 2002

An image of a three-dimensional target is generally characterized by the visible target subcomponents, with these dictated by the target-sensor orientation (target pose). An image often changes quickly with variable pose. We define a class as a set of contiguous target-sensor orientations over which the associated target image is relatively stationary with aspect. Each target is in general characterized by multiple classes. A distinct set of Wiener filters are employed for each class of images, to identify the presence of target subcomponents. A Karhunen-Loeve representation is used to minimize the number of filters (templates) associated with a given subcomponent. The statistical relationships between the different target subcomponents are modeled via a hidden Markov tree (HMT). The HMT classifier is discussed and example results are presented for forward-looking-infrared (FLIR) imagery of several vehicles.

Duke Scholars

Published In

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

ISSN

0162-8828

Publication Date

October 1, 2002

Volume

24

Issue

10

Start / End Page

1394 / 1398

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 4603 Computer vision and multimedia computation
  • 0906 Electrical and Electronic Engineering
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Bharadwaj, P., & Carin, L. (2002). Infrared-image classification using hidden Markov trees. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(10), 1394–1398. https://doi.org/10.1109/TPAMI.2002.1039210
Bharadwaj, P., and L. Carin. “Infrared-image classification using hidden Markov trees.” IEEE Transactions on Pattern Analysis and Machine Intelligence 24, no. 10 (October 1, 2002): 1394–98. https://doi.org/10.1109/TPAMI.2002.1039210.
Bharadwaj P, Carin L. Infrared-image classification using hidden Markov trees. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002 Oct 1;24(10):1394–8.
Bharadwaj, P., and L. Carin. “Infrared-image classification using hidden Markov trees.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 10, Oct. 2002, pp. 1394–98. Scopus, doi:10.1109/TPAMI.2002.1039210.
Bharadwaj P, Carin L. Infrared-image classification using hidden Markov trees. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002 Oct 1;24(10):1394–1398.

Published In

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

ISSN

0162-8828

Publication Date

October 1, 2002

Volume

24

Issue

10

Start / End Page

1394 / 1398

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 4603 Computer vision and multimedia computation
  • 0906 Electrical and Electronic Engineering
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing