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Infrared-image classification using expansion matching filters and hidden Markov trees

Publication ,  Journal Article
Bharadwaj, P; Runkle, P; Carin, L
Published in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
January 1, 2001

Forward-looking infrared (FLIR) images of targets are characterized by the different target components visible in the image, with such dependent on the target-sensor orientation and target history (i.e., which target components are hot). We define a target class as a set of contiguous target-sensor orientations over which the associated image is relatively invariant, or statistically stationary. Given an image from an unknown target, the objective is proper target-class association (target identify and pose). Our principal contribution is an image classifier in which a distinct set of templates is designed for each image class, with templates linked to the object sub-components, and the associated statistics are characterized via a hidden Markov model. In particular, we employ expansion matching (EXM) filters to identify the presence of the target components in the image, and use a hidden Markov tree (HMT) to characterize the statistics of the correlation of the image with the various templates. We achieve a successful classification rate of 92% on a data set of FLIR vehicle images, compared with 72% for a previously developed wavelet-feature-based HMT technique.

Duke Scholars

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

ISSN

1520-6149

Publication Date

January 1, 2001

Volume

3

Start / End Page

1553 / 1556
 

Citation

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Bharadwaj, P., Runkle, P., & Carin, L. (2001). Infrared-image classification using expansion matching filters and hidden Markov trees. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 3, 1553–1556.
Bharadwaj, P., P. Runkle, and L. Carin. “Infrared-image classification using expansion matching filters and hidden Markov trees.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 3 (January 1, 2001): 1553–56.
Bharadwaj P, Runkle P, Carin L. Infrared-image classification using expansion matching filters and hidden Markov trees. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2001 Jan 1;3:1553–6.
Bharadwaj, P., et al. “Infrared-image classification using expansion matching filters and hidden Markov trees.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 3, Jan. 2001, pp. 1553–56.
Bharadwaj P, Runkle P, Carin L. Infrared-image classification using expansion matching filters and hidden Markov trees. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2001 Jan 1;3:1553–1556.

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

ISSN

1520-6149

Publication Date

January 1, 2001

Volume

3

Start / End Page

1553 / 1556