Publications [#339028] of Lawrence Carin

Papers Published

1. 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, vol. 3 (January, 2001), pp. 1553-1556, Salt Lake, UT [ICASSP.2001.941229]
   (last updated on 2024/12/31)

   Abstract:
   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.

   Keywords:
   Markov processes;Mathematical models;Feature extraction;Statistical methods;Wavelet transforms;Three dimensional;Image analysis;