Joint Target Tracking, Recognition and Segmentation for Infrared Imagery Using a Shape Manifold-Based Level Set

@inproceedings{Gong2014JointTT,
  title={Joint Target Tracking, Recognition and Segmentation for Infrared Imagery Using a Shape Manifold-Based Level Set},
  author={Jiulu Gong and Guoliang Fan and Liangjiang Yu and Joseph P. Havlicek and Derong Chen and Ningjun Fan},
  booktitle={Sensors},
  year={2014}
}
We propose a new integrated target tracking, recognition and segmentation algorithm, called ATR-Seg, for infrared imagery. ATR-Seg is formulated in a probabilistic shape-aware level set framework that incorporates a joint view-identity manifold (JVIM) for target shape modeling. As a shape generative model, JVIM features a unified manifold structure in the latent space that is embedded with one view-independent identity manifold and infinite identity-dependent view manifolds. In the ATR-Seg… CONTINUE READING
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