多内核操作系统综述

操作系统在现代生活中具有举足轻重的地位.为了服务于不同的硬件环境和多样的应用场景,操作系统需要在保持性能的同时具备良好的扩展性和灵活性.多内核操作系统,作为一种分布式的操作系统,是该问题的解决方案之一.本文分析了多内核操作系统的设计原理,调研了现有的多内核操作系统技术,并对这些技术和一些相关技术进行了比较.最后,本文对...     

Real-time visual tracking using complementary kernel support correlation filters

Despite demonstrated success of SVM based trackers,their performance remains a boosting room if carefully considering the following factors:first,the tradeoff between sampling and budgeting samples affects tracking accuracy and efficiency much;second,how to effectively fuse different types of features to learn a robust target representation plays a key role in tracking accuracy.In this paper,we propose a novel SVM based tracking method that handles the first factor with the help of the circulant structures of the samples and the second one by a multi-kernel learning mechanism.Specifically,we formulate an SVM classification model for visual tracking that incorporates two types of kernels whose matrices are circulant,fully taking advantage of the complementary traits of the color and HOG features to learn a robust target representation.Moreover,it is fortunate that the SVM model has a closed-form solution in terms of both the classifier weights and the kernel weights,and both can be efficiently computed via fast Fourier transforms(FFTs).Extensive evaluations on OTB100 and VOT2016 visual tracking benchmarks demonstrate that the proposed method achieves a favorable performance against various state-of-the-art trackers with a speed of 50 fps on a single CPU.     

多核重复背投影图像超分辨率方法

图像超分辨率算法目前最为通用的框架是基于Bayes估计的方法,其求解方法多归于重复背投影(插值)的迭代方法．在特定的成像条件下,基于训练的多核插值滤波器估计方法具有良好的效果．考虑采样过程对图像质量的影响,我们把多核插值滤波器估计方法引入到重复背投影的计算框架下,取得了优于单独使用一种方法的超分辨率结果．