攻击机对地面目标目视及红外搜索模型研究

攻击机在对地面目标进行攻击前必须首先发现目标。目标发现概率受多方面因素的影响,包括目标的面积大小、分布、对比度等。在充分考虑目标发现概率各影响因素的基础上,建立了其空间几何模型;采用解析法建立了攻击机目标搜索模型;分析了对比度和能见距离对发现概率的影响。仿真结果显示,该模型正确反映了各影响因素与目标发现概率的关系,是一个有效的模型。     

搜索雷达GPS校准方法研究

文中介绍一种使用GPS作为标准设备对搜索雷达进行校准的方法,给出了相应的测量数据处理方法.     

移动视觉搜索技术研究与标准化进展

移动视觉搜索成为未来移动世界中有影响的基础技术之一。文章介绍了移动视觉搜索面临的技术挑战,探讨了包括紧凑视觉描述子、视觉检索流程、检索系统互操作性等关键技术。围绕紧凑视觉描述子概述了移动视觉搜索国际标准的工作进展,提出建设大规模视觉对象数据集的重要意义。     

可计算图像复杂度评价方法综述

可计算的图像复杂度评价是让计算机模拟人类视觉感知,从而对图像视觉复杂度进行决策的研究,该研究属于多学科交叉的创新性研究课题,在图像工程领域具有重要意义.本文针对可计算的图像复杂度评价方法进行了全面的梳理和分析,文中首先回顾了图像复杂度的应用领域,并详细阐述了图像复杂度评价方法,从信息论、图像压缩理论、图像特征分析、眼动数据等方面进行总结;随后,着重阐述基于图像特征的图像复杂度评价方法中所使用的图像特征;归纳图像复杂度建模中的分类和回归问题;最后,总结当前图像视觉复杂度评价方法存在的问题和挑战,展望图像复杂度的计算化发展方向.     

自适应界面视觉搜索认知特性研究

自适应界面中经常遇到调整界面项目区域位置和增大区域面积,吸引用户注意,提高交互效率的情况.本文对自适应界面项目区域位置变化和区域面积增大过程中人的认知特性进行了研究,为自适应界面设计提供依据.设计了工效学实验,使界面自适应项目在中间位置和其他位置进行随机切换,界面自适应项目在原面积界面和增大面积界面之间随机切换,模拟界...     

搜索雷达探测范围的可视化技术

提出了搜索雷达探测范围的可视化技术,论述了可视化技术的形成原理及诸参数的确定方法。     

基于粒子滤波与局部搜索的视频目标跟踪

为了提高视频目标跟踪的鲁棒性和准确性,本文提出了基于局部搜索(Local Search)和粒子滤波(Particle Filter)相结合的视频目标跟踪方法——LSPF(Local Search Particle Filter)算法.利用粒子滤波得到样本的权值后,将局部搜索用于每一个粒子,使权值小的粒子收敛于邻近的权值较大的粒子处,有效克服了传统PF算法的粒子退化问题.实验结果表明,传统PF算法平均跟踪误差为10.89,而本文提出的LSPF算法平均跟踪误差仅为3.49,在跟踪性能上有了很大改善.尤其当目标受到干扰时,LSPF算法仍能实现对目标的准确跟踪,为稳定跟踪提供了有利保障.     

提升高端显示屏刷新率的方法

目前,LED显示屏对刷新率与输出色阶的要求愈来愈高,其中刷新率愈高,则人眼所能感觉的播放画面就愈不会闪烁,而输出的色阶愈高,则画面的显示就愈细腻,色彩也愈丰富。而与这些功能有密切关联的就是显示屏系统所采用的驱动芯片,不过芯片要达到上述规格的需求并不容易,需要快速的OE反应来提高灰阶度和影像的刷新率。     

提升高阶显示屏刷新率的方法

目前显示屏的应用趋势是走向对显示画面的刷新率与输出色阶的要求愈来愈高．其中刷新率愈高,则人眼所能感觉的播放画面就愈不会闪烁,而输出的色阶愈高,则画面的显示就愈细腻,色彩也愈丰富。而与这些功能有密切关联的就是显示屏系统所采用的驱动芯片,不过芯片要达到上述规格的需求并不容易,需要快速的OE反应来提高灰阶度和影像的刷新率。     

Construction Methods of Knowledge Mapping for Full Service Power Data Semantic Search System

Journal of Signal Processing Systems - The power sector continues to accumulate a large amount of data resources, including relevant standard specifications, technical documents, management...     

移动机器人视觉目标检测与跟踪方法研究综述

针对移动机器人视觉目标检测与跟踪任务,首先,阐述了其研究背景及意义,分析了当前目标检测与跟踪方法研究中存在的难点;其次,结合特征表达的类型和检测步骤对传统目标检测算法、基于候选区域的目标检测算法、基于回归的目标检测算法与基于增强学习的目标检测算法等4种目标检测算法的优缺点进行了分析比较;接着,分析比较了传统跟踪算法、基...     

Efficient Filtering and Clustering Methods for Temporal Video Segmentation and Visual Summarization

Automatic temporal segmentation and visual summary generation methods that require minimal user interaction are key requirements in video information management systems. Clustering presents an ideal method for achieving these goals, as it allows direct integration of multiple information sources. This paper proposes a clustering-based framework to achieve these tasks automatically and with a minimum of user-defined parameters. The use of multiple frame difference features and short-time techniques are presented for efficient detection of cut-type shot boundaries. Generic temporal filtering methods are used to process the signals used in shot boundary detection, resulting in better suppression of false alarms. Clustering is also extended to the key frame extraction problem: Color-based shot representations are provided by average and intersection histograms, which are then used in a clustering scheme to identify reference key frames within each slot. The technique achieves good compaction with a minimum number of visually nonredundant key frames.     

Efficient Search Methods Using Energy Detectors--Maximum Probability of Detection

The search for weak signals with unknown center frequency using energy detectors is a resource allocation problem. This paper considers good strategies for search when the total search time is fixed. The criterion for optimality considered in this paper is maximum probability of detection for specified false alarm probability. The problem is shown to be one in nonlinear programming which has a solution via dynamic programming methods. Several computer simulations are presented for representative cases of interest. A heuristic discussion of these strategies is presented together with suboptimal strategies that require a lower computational burden.     

智能搜索业务之手机邮箱搜索

搜索业务一直是互联网的核心基础业务,随着技术的发展和用户需求的不断深化,针对性的智能搜索也有迅速的发展,手机邮箱搜索业务便是其一。本文从移动化、全面化、简单化三个方面分析手机邮箱搜索业务的技术难点及发展趋势。     

Comparing Three Heuristic Search Methods for Functional Partitioning in Hardware–Software Codesign

This paper compares three heuristic search algorithms: genetic algorithm (GA), simulated annealing (SA) and tabu search (TS), for hardware–software partitioning. The algorithms operate on functional blocks for designs represented as directed acyclic graphs, with the objective of minimising processing time under various hardware area constraints. Thecomparison involves a model for calculating processing time based on a non-increasing first-fit algorithm to schedule tasks, given that shared resource conflicts do not occur. The results show that TS is superior to SA and GA in terms of both search time and quality of solutions. In addition, we have implemented an intensification strategy in TS called penalty reward, which can further improve the quality of results.     

Small Target Detection Utilizing Robust Methods of the Human Visual System for IRST

Robust detection of small targets is very important in IRST (Infrared Search and Track). This paper presents a novel mathematical method for the incoming target detection problem in cluttered background motivated from the robust properties of human visual system (HVS). The HVS shows the best efficiency and robustness for an object detection task. The robust properties of the HVS are contrast mechanism, multi-resolution representation, size adaptation, and pop-out phenomena. Based on these facts, a plausible computational model integrating these facts is proposed using Laplacian scale-space theory and Tune-Max based optimization method. Simultaneous target signal enhancement and background clutter suppression is achieved by tuning and maximizing the signal-to-clutter ratio (TMSCR) in Laplacian scale-space. At the first stage, the Tune-Max of the signal to background contrast produces candidate targets with adapted scale. At the second stage, the Tune-Max of the signal-to-clutter ratio (SCR) produces maximal SCR which is used to pop-out detections. Experimental evaluation results for the incoming target sequence validate the upgraded detection capability of the proposed method compared with the Top-hat method at the same false alarm rate. Experimental results for the six kinds of cluttered background images show that the proposed TMSCR produces less false alarms (4.3 times reduction) compared to the Top-hat at the same detection rate.     

Adaptive Spatiotemporal Feature Extraction and Dynamic Combining Methods for Selective Visual Attention System

This paper introduces a selective attention system that guides users to detect the regions of interest more effectively by adaptively selecting and using spatial and temporal features according to the input images. Although the proposed system is based on a typical bottom-up method, it achieved improvement in the method for extracting features and calculating the saliencies compared to existing studies. In the proposed system, spatial saliencies have dynamic information from which features are adaptively selected according to the input images. Also temporal saliencies in the proposed system have pieces of information for individual moving objects that are associated with each other obtained through multi-resolution feature analysis. In addition, when combining a spatial saliency and a temporal saliency, the activity of the input saliency is measured, and the weights that change dynamically according to the activity are calculated, and the spatial saliency and temporal saliency are combined according to the weights. In order to evaluate the performance of the proposed system, comparative experiments with the existing systems were conducted with diverse experimental images and as a result, it could be seen that the proposed system produces results closer to the results of humans’ visual recognition compared to previous systems.     

无结构P2P网络资源搜索方法研究

对等网络（P2P）成为近年来的研究热点，如何进行高效准确的资源搜索是实现对等网络应用的关键问题。本文在分析Gnutella网络的基本泛洪算法存在问题的基础之上，介绍了现有的资源搜索改进方法，包括优化网络拓扑结构方法、改进转发机制方法、基于路由信息方法和基于缓存的方法。