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Over the past few decades, matrix factorization has attracted considerable attention for image representation. It is desired for a matrix factorization technique to find the basis that is able to capture highly discriminant information as well as to preserve the intrinsic manifold structure. Besides, the basis has to generate a sparse representation for a given image. In this paper, we propose a matrix...
We address the problem of joint target tracking and recognition by incorporating both appearance and motion information via two generative models. Specifically, a non-linear tensor decomposition method is used to develop an appearance generative model for multi-pose target representation. In addition, a target-dependent kinematic model is invoked to capture different target dynamics. Both generative...
We present a particle filter-based target tracking algorithm for FLIR imagery. A dual foreground and background model is proposed for target representation which supports robust and accurate target tracking and size estimation. A novel online feature selection technique is introduced that is able to adoptively select the optimal feature to maximize the tracking confidence. Moreover, a coupled particle...
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