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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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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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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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