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Description: Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.-Robustnesstochangesinilluminationcon ditionsaswellas viewing perspectives is an im portant requirement formany a computer vision pplications. One of the key fac-ors in enhancin g the robustness of dynamic scene analy-sis is not hat of accurate and reliable means for de shadow- ection. Shadowdetectioniscriticalforcorr ectobjectde- ection in image sequences. Many a lgorithms have beenproposed in the literature that deal with shadows. How-ever, acomparativeevaluationoftheexistingappro achesisstill lacking. In this paper, the full range of problems un-derlyingtheshad owdetectionareidenti edanddiscussed.Wecla ssifytheproposedsolutionstothisproblemus ingaaxonomyoffourmainclasses. calleddeterministicmodeland non-model base d and statistical parametric and non-parametr id. Novelquantitative (det
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Size: 91136 |
Author: liangqin |
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Description: 提出了一种室内静止摄像机条件下的运动目标检测和阴影抑制方法。该方法采用一种自适应的背景估计方法来实时更新
背景,用基于概率分类法检测运动目标,并在联合HMMD色彩空间和光度特征来抑制阴影之后,用Sobel边缘检测来修正运动目
标。实验结果表明,该方法能够有效地检测运动目标和抑制阴影。
-An indoor stationary camera under the conditions of moving target detection and shadow suppression method. The method using an adaptive background estimation method to the context of real-time updates, with classification based on the probability of detection of moving targets, and in the United HMMD characteristics of color space and to curb the shadow of light, the use of Sobel edge detection of moving targets to fix. The experimental results show that this method can detect moving targets and suppression of the shadow.
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Size: 96256 |
Author: 沛洋 |
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Description: 本文将检测问题表示为能量函数，通过最小化能量函
数来检测运动阴影。这种方法先用传统的背景对消方法分别得到静态背景和含有真实前景和运动阴影的运动目标，
然后在运动目标中，利用阴影的颜色不变性和纹理不变性，以及阴影和前景的时空一致性，构造出能量函数-This will detect the problem as the energy function, by minimizing the energy function to detect the moving shadows. In this method, the traditional method of eliminating the background of the static background and were obtained with real prospects and moving shadows moving target, and then moving target, the use of shadow color and texture invariance invariance, and the same shadows and prospects of space-time nature of the energy function is constructed
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Size: 436224 |
Author: xxx |
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Description: It is useful to developer who interest with shadow removal in video surveillance system
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Size: 140288 |
Author: wefwef |
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Description: Shadow detection and removal is an important task when dealing with colour outdoor images. Shadows are
generated by a local and relative absence of light. Shadows are, first of all, a local decrease in the amount of
light that reaches a surface. Secondly, they are a local change in the amount of light rejected by a surface toward
the observer. Most shadow detection and segmentation methods are based on image analysis. However, some
factors will affect the detection result due to the complexity of the circumstances, like water and a low intensity
roof because of the special material as they are easy mistaken as shadows. In this paper we present a hypothesis
test to detect shadows from the images and then energy function concept is used to remove the shadow from the
image.
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Size: 382976 |
Author: dermeche |
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Description: 1.进程、线程、进程模块、进程窗口、进程内存信息查看，热键信息查看，杀进程、杀线程、卸载模块等功能 2.内核驱动模块查看，支持内核驱动模块的内存拷贝 3.SSDT、Shadow SSDT、FSD、KBD、TCPIP、IDT信息查看，并能检测和恢复ssdt hook和inline hook 4.CreateProcess、CreateThread、LoadImage、CmpCallback、BugCheckCallback、Shutdown、Lego等Notify Routine信息查看，并支持对这些Notify Routine的删除 5.端口信息查看，目前不支持2000系统 6.查看消息钩子 7.内核模块的iat、eat、inline hook、patches检测和恢复 8.磁盘、卷、键盘、网络层等过滤驱动检测，并支持删除 9.注册表编辑 -1 process, thread, process modules, process window, process memory information viewing, hot information to view, kill the process, kill thread, unload the module and other functions 2 kernel driver module view, to support the kernel driver module memory copy 3.SSDT, Shadow SSDT, FSD, KBD, TCPIP, IDT information view, and can detect and recover ssdt hook and inline hook 4.CreateProcess, CreateThread, LoadImage, CmpCallback, BugCheckCallback, Shutdown, Lego, etc. Notify Routine Information check, and to support their Notify Routine Delete 5 port information view, the current system does not support 2000 6 view news hook 7 kernel module iat, eat, inline hook, patches detection and recovery 8 disk, volume, keyboard, network layer filter driver detect, and support for the deletion 9. Registry Editor
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Size: 3696640 |
Author: 接收 |
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Description: 运动检测 检测人体的头部位置、整体位置、滤除影子-Motion detection detect the body and head position, the overall position of the shadow filter
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Size: 6627328 |
Author: 米粒路路 |
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Description: 以混合高斯模型为基础，利用背景差分法获得目标图像并有阴影检测的方法进行目标检测-The Gaussian mixture model based on the use of the background difference method to obtain the target image and a shadow detection method for target detection
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Size: 176128 |
Author: liangfangfang |
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Description: 利用混合高斯模型实现运动目标的初步监测，并利用HSV模型进行阴影滤除-Use mixgaussian model to detect moving object. and use the model of HSV to remove shadow
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Size: 2093056 |
Author: jam |
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Description: image processing shadow detect
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Size: 373760 |
Author: ferdi |
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Description: 基于matlab的阴影抑制算法实现包含边缘检测和颜色分割等算法实现对比-shadow detection using edge detect and color segment etc
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Size: 3072 |
Author: qiqi |
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Description: 关于纹理不变的 阴影检测的论文,都是好论文，值得大家借鉴阅读-two important paper about texture constant method to detect the shadow
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Size: 698368 |
Author: 杨卫东 |
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Description: 基于阴影分割的车辆检测识别，可以成功地检测出车辆位置-the vehicle detection based on shadow,it can detect the vehicle succefully
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Size: 29770752 |
Author: 叶桐 |
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Description: 运用车底阴影特征实现图片中的前方车辆检测(Use vehicle shadow feature to detect vehicle in front of image)
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Size: 137216 |
Author: yiwhut
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Description: 1.进程、线程、进程模块、进程窗口、进程内存信息查看，杀进程、杀线程、卸载模块等功能
2.内核驱动模块查看，支持内核驱动模块的内存拷贝
3.SSDT、Shadow SSDT、FSD、KBD、TCPIP、Classpnp、Atapi、Acpi、SCSI、IDT、GDT信息查看，并能检测和恢复ssdt hook和inline hook
4.CreateProcess、CreateThread、LoadImage、CmpCallback、BugCheckCallback、Shutdown、Lego等Notify Routine信息查看，并支持对这些Notify Routine的删除
5.端口信息查看，目前不支持2000系统
6.查看消息钩子
7.内核模块的iat、eat、inline hook、patches检测和恢复
8.磁盘、卷、键盘、网络层等过滤驱动检测，并支持删除(1. process, thread, process module, process window, process memory information view, kill process, kill thread, unload module and so on
2. kernel driver module view, support the memory module of the kernel driver module
3.SSDT, Shadow, SSDT, FSD, KBD, TCPIP, Classpnp, Atapi, Acpi, SCSI, IDT, GDT, information view, and can detect and restore SSDT, hook and inline hook
4.CreateProcess, CreateThread, LoadImage, CmpCallback, BugCheckCallback, Shutdown, Lego and other Notify Routine information view, and support for the deletion of these Notify Routine
5. port information, currently 2000 systems are not supported
6. view message hook
7. kernel module of IAT, eat, inline, hook, patches detection and recovery
8. disk, volume, keyboard, network layer filter driver detection, and support deletion)
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Size: 6559744 |
Author: aa77ss55dd
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