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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书目名称Machine Vision Beyond Visible Spectrum影响因子(影响力)




书目名称Machine Vision Beyond Visible Spectrum影响因子(影响力)学科排名




书目名称Machine Vision Beyond Visible Spectrum网络公开度




书目名称Machine Vision Beyond Visible Spectrum网络公开度学科排名




书目名称Machine Vision Beyond Visible Spectrum被引频次




书目名称Machine Vision Beyond Visible Spectrum被引频次学科排名




书目名称Machine Vision Beyond Visible Spectrum年度引用




书目名称Machine Vision Beyond Visible Spectrum年度引用学科排名




书目名称Machine Vision Beyond Visible Spectrum读者反馈




书目名称Machine Vision Beyond Visible Spectrum读者反馈学科排名

流逝

Book 2011 is composed of six parts:..* Advanced background modeling for surveillance..* Advances in Tracking in Infrared imagery..* Methods for Pose estimation in Ultrasound and LWIR imagery..* Recognition in multi-spectral and synthetic aperture radar..* Fusion of disparate sensors..* Smart Sensors .

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2190-5916 ltrasound and LWIR imagery..* Recognition in multi-spectral and synthetic aperture radar..* Fusion of disparate sensors..* Smart Sensors .978-3-642-26850-2978-3-642-11568-4Series ISSN 2190-5916 Series E-ISSN 2190-5924

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Appearance Learning for Infrared Tracking with Occlusion Handlings on real infrared imagery show that correlation-based AKF outperforms the covariance-based one as well as traditional histogram similarity-based approaches with near sub-pixel tracking accuracy and robust occlusion handling.

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Fusion of a Camera and a Laser Range Sensor for Vehicle Recognitionness to outdoor conditions. To evaluate the performance of the system, it is applied to recognition of on-street parked vehicles from a moving probe vehicle. The evaluation experiments show obviously successful results, with a detection rate of 100% and accuracy over 95% in recognizing four vehicle classes.

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Affine Invariant Hyperspectral Image Descriptors Based upon Harmonic Analysisng the space and wavelength correlation for the spectra in the hyperspectral imagery under study. We illustrate the utility of our descriptor for purpose of object recognition on a hyperspectral image dataset of real-world objects and compare our results to those yielded using an alternative.

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