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 Platform: |
Size: 91136 |
Author:liangqin |
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Description: for the TI dm6446 platformBackground subtraction moduleMaintain a background model, which can distinguish background, foreground and theft/left pixelsShadow removal moduleDetect shadow regions in monochrome videosCamera shift detection and suppression moduleDetect of small camera shift, and suppress the false alarms due to themBlob extraction moduleExtract connected foreground and theft/left pixels as blobsTheft/left baggage distinguish moduleDistinguish theft blobs and left baggage blobs Platform: |
Size: 20480 |
Author: |
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Description:
运动目标检测的源程序，能对24真彩色的图象进行处理，通过差影法（差分法）来实现检测！即用当前图象减去前一幅图象！-Moving target detection in source code, to the 24 true color image processing, through poor shadow method (differential method) to achieve detection! That is, by subtracting the current image before an image! Platform: |
Size: 1024 |
Author:克玲 |
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Description: 本代码包含有图像分割和边缘检测的多种处理方法，在图像分割中有自适应阈值，大律法，边缘检测中有轮廓提取和轮廓跟踪，模板匹配中有差影，模板匹配，差影匹配。-The code includes image segmentation and edge detection of a variety of treatment methods in image segmentation has adaptive threshold, the law, edge detection has contour extraction and contour tracking, template matching has poor shadow, template matching, and poor Shadow matching. Platform: |
Size: 2637824 |
Author:杜玉 |
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Description: 本文件包含的程序实现了神经网络在遥感正射影像云影检测领域的应用，效果良好。-This document contains procedures for implementation of neural networks in remote sensing cloud shadow detection orthophoto application of the field to good effect. Platform: |
Size: 5339136 |
Author:唐爱盼 |
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Description: 关于视频方面，运用阴影检测的方法。在交通方面运用比较广泛！-On the video side, the use of shadow detection method. More extensive use of transport! Platform: |
Size: 617472 |
Author:jeff zu |
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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. Platform: |
Size: 382976 |
Author:dermeche |
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Description: 该代码用于在视觉智能监控/视频监控/视觉监控/视频智能监控中，消除阴影。阴影消除对视频监控具有重要的意义，能够有效地降低阴影对目标检测的影响，减小误检率和漏检率，提高对目标的识别效率以及监控系统的稳定性和可靠性。-This code is used to remove shadow in visual intelligent surveillance/video surveillance/visual surveillance/video intelligent surveillance. Shadow removal plays a important role in video surveillance. It reduce the affection of shadow in object detection, decrease false detection rate and missing rate, and improve the stability and reliability of surveillance system. Platform: |
Size: 4096 |
Author:朱亮亮 |
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Description: 非常全面介绍了阴影检测算法以及如何去除阴影的算法，基本涵盖了该领域的所有知识点。-Is a comprehensive introduction to the shadow detection algorithm and how to remove the shadow of the algorithm, covering all the knowledge in the field point. Platform: |
Size: 7507968 |
Author:wangxiangyun |
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