Stochastic Models for Recognition of Articulated Objects
نویسندگان
چکیده
In this paper, we present a hidden Markov modeling (HMM) based approach for recognition of articulated objects in synthetic aperture radar (SAR) images. W e develop multiple models for a given SAR image of an object and integrate these models synergistically using their probabilistic estimates for recognition and estimates of invariance of features as a result of articulation. The models are based on sequentialization of scattering centers extracted from SAR images. Experimental results are presented using 1440 traaning images and 2520 testing images for 4 classes.
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