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

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

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...

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Bibliographic Details
Main Authors: Jiulu Gong, Guoliang Fan, Liangjiang Yu, Joseph P. Havlicek, Derong Chen, Ningjun Fan
Format: Article
Language:English
Published: MDPI AG 2014-06-01
Series:Sensors
Subjects:
automatic target recognition
joint tracking recognition and segmentation
shape manifolds
level set
manifold learning
Online Access:http://www.mdpi.com/1424-8220/14/6/10124

Internet

http://www.mdpi.com/1424-8220/14/6/10124

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