Titlebook: Machine Vision Beyond Visible Spectrum; Riad Hammoud,Guoliang Fan,Katsushi Ikeuchi Book 2011 Springer-Verlag Berlin Heidelberg 2011 LWIR.P

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Appearance Learning for Infrared Tracking with Occlusion Handlingamework, where both adaptive Kalman filtering (AKF) and particle filtering are integrated together to learn target appearance and to estimate target kinematics in a sequential manner. We propose a dual foreground–background appearance model that incorporates the pixel statistics in both foreground a

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Pattern Recognition and Tracking in Forward Looking Infrared Imagerycular, we discuss several target detection and tracking algorithms for single/multiple target detection and tracking purposes. Each detection and tracking algorithm utilizes various properties of targets and image frames of a given sequence. At first we discuss a Fukunga–Kuntz Transform and template

善變

A Bayesian Method for Infrared Face Recognitionrelatively more attention in visible spectrum domain compared to the thermal infrared one. This was justified by both the higher cost of thermal sensors, the lack of widely available IR image databases and the quality of the produced images (lower resolution and higher image noise). Recently, therma

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徹底明白

Moving Object Detection and Tracking in Forward Looking Infra-Red Aerial Imageryese problems have gained significant importance over the years, especially with the advent of lightweight and reliable imaging devices. Detection and tracking of objects of interest has traditionally been an area of interest in the computer vision literature. These tasks are rendered especially chal

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