Publications [#338988] of Lawrence Carin

Papers Published

1. Bharadwaj, P; Carin, L, Infrared-image classification using hidden Markov trees, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24 no. 10 (October, 2002), pp. 1394-1398, Institute of Electrical and Electronics Engineers (IEEE) [TPAMI.2002.1039210], [doi]
   (last updated on 2024/12/31)

   Abstract:
   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.

   Keywords:
   Infrared imaging;Markov processes;Mathematical models;Trees (mathematics);Three dimensional;Set theory;Signal filtering and prediction;Digital filters;Statistical methods;