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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書目名稱Machine Vision Beyond Visible Spectrum影響因子(影響力)




書目名稱Machine Vision Beyond Visible Spectrum影響因子(影響力)學(xué)科排名




書目名稱Machine Vision Beyond Visible Spectrum網(wǎng)絡(luò)公開度




書目名稱Machine Vision Beyond Visible Spectrum網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Vision Beyond Visible Spectrum被引頻次




書目名稱Machine Vision Beyond Visible Spectrum被引頻次學(xué)科排名




書目名稱Machine Vision Beyond Visible Spectrum年度引用




書目名稱Machine Vision Beyond Visible Spectrum年度引用學(xué)科排名




書目名稱Machine Vision Beyond Visible Spectrum讀者反饋




書目名稱Machine Vision Beyond Visible Spectrum讀者反饋學(xué)科排名

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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.

策略

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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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