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2下载:
基于背景和前景种子选择的显著性检测,文章和代码-Saliency detection via background and foreground seed selection
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大连理工大学卢湖川教授团队显著性检测方法3-Saliency Detection via Background and Foreground Seed Selection
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使用背景减进行前景提取,并进行人群密度检测-Foreground extracted using background subtraction, and crowd density detection
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软件介绍
拥有强大的后台管理功能,管理界面清爽美观,代码干净简洁!各大搜索引擎收录良好!程序还带有防SQL注入及跨站攻击功能,后台实现:网站初始设置、网站公告管理、网站SEO优化管理、站点广告管理、服务器信息探测、站长工具包等功能。并实现前台与后台完全分离,可自定义后台管理路径!支持多级目录下运行!-Software introduction
Has a strong background management functions, management interface clean
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计算机视觉中最重要的研究之一就是运动目标检测,其不但在模式识别方面具有相关的研究,而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标,通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法,并就背景差分法进行了重点研究,通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为:视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行
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拥有强大的后台管理功能,管理界面清爽美观,代码干净简洁!各大搜索引擎收录良好!程序还带有防SQL注入及跨站攻击功能,后台实现:网站初始设置、网站公告管理、网站SEO优化管理、站点广告管理、服务器信息探测、站长工具包等功能。并实现前台与后台完全分离,可自定义后台管理路径!支持多级目录下运行!-Has a strong management background, beautiful fresh management interface, the code is clean and simple!
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基于帧间差分的单目标/多目标的实时跟踪程序,基于MATLAB编写。希望对刚学习MATLAB的同学有所帮助-This example shows how to perform automatic detection and motion-based
tracking of moving objects in a video a stationary camera.
Copyright 2014 The MathWorks, Inc.
Detec
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1, site management
Site settings / foreground navigation settings / home ID call / home module switch / external call code /SQL, anti injection management / server detection
2, user management
Manage user / add user / integrator initialization / m
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Features: computer support + + WeChat mobile phone end end end (three end one) to support the station search support system to support member mall system support universal form support (Alipay / WeChat instant account interface) (payment scan code) p
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文件实现了目标检测,可以很清楚的区分前景和背景。(The file implements the target detection, which can distinguish the foreground and the background clearly.)
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一种online 的视频检测算法,实时监测,能够提取相对稀疏的前景区域(A online video detection algorithm, real-time monitoring, can extract relatively sparse foreground region)
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目标检测,对包含动态背景信息的监控视频,设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
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对包含动态背景信息的监控视频,设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
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采用多个高斯分布的方式来描述背景像素点的特征,在线地更新参数和权重,实现运动检测和前景提取的同步进行,即采用混合高斯背景算法进行建模,以降低动态背景的干扰。(The characteristics of the background pixel are described by several Gaussian distributions, and the parameters and weights are updated online. Synchronization of motion d
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一种综合多种算法的车辆检测和追踪方法,运行时间较长,但效果很棒(We implement a system for vehicle detection and
tracking from traffic video using Gaussian mixture models and
Bayesian estimation. In particular, the system provides robust
foreground segmentation of moving vehicles
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采用MATLAB完成人脸检测,可实现在前景和背景差别较大的情况下完成检测,准确率较高,适用范围较广。(Using MATLAB to complete the face detection can realize the detection of the foreground and the background difference is bigger, the accuracy rate is high, and the scope of application is wider.)
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使用背景差分法实现一般视频的前景运动目标提取和检测。(The background difference method is used to realize the extraction and detection of the foreground moving target in the general video.)
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通过背景差分法获取运动目标检测,提取前景目标,转化成二值图(The moving target detection is obtained by the background difference method, and the foreground object is extracted and transformed into a two value graph.)
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现有的显着性检测方法使用图像作为输入,并且对前景/背景相似性,复杂背景纹理和遮挡敏感。我们探讨了使用光场作为显着性检测的输入的问题。(Existing saliency detection approaches use images as in-puts and are sensitive to foreground/background similari-ties, complex background textures, and occlusions. We ex-plore the pro
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全局低秩显著性检测算法首先根据自然图像前景目标和背景亮度、颜色的差异性重构出图像前景显著目标;然后利用低秩分解对图像中的非显著性区域进行抑制。(The global low-rank saliency detection algorithm first reconstructs the image foreground salient targets based on the difference between the natural image foreground target and t
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