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在复杂场景中多目标物的检测识别方法，介绍复杂场景中如何识别物体边界,In complex scenarios of multi-target detection identification methods, introducing the complexity of how to identify objects in scenes border
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视频图像中，行人检查的源代码。利用人体形状特征做特征识别。利用运动物体检测得到初始识别区域。,Video images, pedestrian check the source code. Characteristics of the human body shape to do feature recognition. Detection of moving objects using the region to be the initial identification.
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检测识别视频中的动态物体，比如人体和车辆，可用于监控处理-Detection and identification of dynamic objects in the video, such as humans and vehicles, can be used to monitor treatment
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该代码是基于opencv的运动检测代码，其主要思想是通过团块检测运动目标，然后跟踪识别运动目标。-The code is based on motion detection opencv code, the main idea is to detect moving objects by mass, and then track the moving target identification.
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运动物体的自动识别，以及检测运动物体，并实现跟踪的功能。-Sports automatic identification of objects, as well as the detection of moving objects and tracking functions.
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Edge detection is one of the most commonly used operations in image analysis, and
there are probably more algorithms in the literature for enhancing and detecting edges
than any other single subject. The reason for this that edges form the out
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Bag of Wo rds 算法是一种有效的基于语义特征提取与表达的物体识别算法, 算法充分学习文本检索算法的优
点, 将图片整理为一系列视觉词汇的集合, 提取物体的语义特征, 实现感兴趣物体的有效检测与识别。文章主要研究了Bag
of Wo rds 算法的框架和基本内容。-Bag of Wo in rds algorithm is an effective semantic features extracted and the expression of object recognit
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图像检测，识别虚拟物体叠加，基于VC++实现-Image detection, identification, virtual objects superimposed based VC++ achieve
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图片的边缘检测和识别,从一张照片中分割出具体的物体-Image edge detection and identification of the segmented concrete objects in a photo
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基于opencv开源图像处理库在vs环境下c++开发的图像视频处理实例运动物体检测识别-Opencv source image processing library in c++ development environment vc image processing example video motion detection and identification of objects based on
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