Search results for "Background image"

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ESTIMATING SMALL ANGULAR SCALE COSMIC MICROWAVE BACKGROUND ANISOTROPY WITH HIGH-RESOLUTIONN-BODY SIMULATIONS: WEAK LENSING

2010

We estimate the impact of weak lensing by strongly nonlinear cosmological structures on the cosmic microwave background. Accurate calculation of large l multipoles requires N-body simulations and ray-tracing schemes with both high spatial and temporal resolution. To this end, we have developed a new code that combines a gravitational Adaptive Particle-Particle, Particle-Mesh solver with a weak-lensing evaluation routine. The lensing deviations are evaluated while structure evolves during the simulation so that all evolution steps—rather than just a few outputs—are used in the lensing computations. The new code also includes a ray-tracing procedure that avoids periodicity effects in a univer…

Physics010308 nuclear & particles physicsmedia_common.quotation_subjectCosmic microwave backgroundCosmic background radiationSpectral densityAstronomy and AstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesCosmologyUniverseComputational physicsSpace and Planetary ScienceTemporal resolution0103 physical sciences010303 astronomy & astrophysicsWeak gravitational lensingCosmic Background Imagermedia_commonThe Astrophysical Journal
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Embedded Real-Time Surveillance Using Multimodal Mean Background Modeling

2008

Automated video surveillance applications require accurate separation of foreground and background image content. Cost-sensitive embedded platforms place real-time performance and efficiency demands on techniques to accomplish this task. In this chapter, we evaluate pixel-level foreground extraction techniques for a low-cost integrated surveillance system. We introduce a new adaptive background modeling technique, multimodal mean (MM), which balances accuracy, performance, and efficiency to meet embedded system requirements. Our evaluation compares several pixel-level foreground extraction techniques in terms of their computation and storage requirements, and functional accuracy for three r…

business.industryComputer scienceComputationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVideo sequenceMixture modelExecution timeReduction (complexity)Task (computing)Computer visionArtificial intelligenceREAL-TIME SURVEILLANCEbusinessBackground imageMM algorithm
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