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A method to detect new objects in a scene by
comparing an input query image and a movie database captured beforehand is proposed.
Our method is based on both feature point matching and edge matching. First, we select the most matched movie from t
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视频场景切换及轮廓检测(VS2008+opencv),采用VC编写,注意源代码里的视频名称是“sunyanzi.avi”,改成自己的视频名称即可-scene change detection and detective contours,write with vc,remember change the name of video in the code into yours
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视频捕捉的对象中,背景通常保持不变。一般分析中关注移动的前景物体,威力提取出前景物体,需要建立背景的模型,将模型和当前帧进行比对检测前景物体。前景提取应用非常广泛,特别是在智能监控领域中。
如果有不含前景物体的背景图片,提取前景的工作相对容易,只需要比对当前帧和背景图片的不同,调用函数absdiff实现。但是大多数情况,获得背景图片是不可能的,比如在复杂的场景下,或者有光线条件的变化。因此,就需要动态的变换背景。一种简单的办法是对所观察到的图片取平均,但这样做也有很多弊端,首先,这种办
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compute MVs, scene change detection, edge padding, intra refresh, compute block activity.
-compute MVs, scene change detection, edge padding, intra refresh, compute block activity.
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运动目标检测是将位置发生改变的物体从背景中提取出来,它是运动目标跟踪、行为识别
和场景描述等技术的基础。运动目标检测的经典方法有光流法、帧间差分法和背景减除法。-Moving object detection is to change the position of the object extracted the background, it is a moving target tracking, behavior recognition
And underlying techno
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本文档包含了对四篇论文中Videotext的内容检测方法概述,其中有通过前景后景变化差异检测,边角特性检测等方法进行text的detection或者recognition-This document contains the contents of four papers in Videotext detection methods outlined, including the detection text carried out by the method of difference sce
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