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集合物体形状/颜色识别功能的全自动安全监视报警器,可以用来检测特定物体是否被移动、或者用于入侵检测等等 -shape / color recognition function of automatic security alarm monitoring device that can be used to determine whether a particular object was moving, or for intrusion detection, etc.
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图像识别。通过高清摄像头采集移动物体图像,采集的图像与静态时一定距离拍摄的图片进行比对,以比对两者的像素值差值,从而计算物体与摄像头的距离。-Image recognition. HD camera collected images of moving objects, collected images and static pictures taken of a certain distance compared to the pixel values of the
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鉴别一个移动物体,可以实现锁定目标 识别率很高,可以供大家学习
-Identify a moving object, can realize the target recognition rate is very high, can be for everybody to learn
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近些年,由于射频技术发展迅猛,应答器有了新的说法和含义,又被叫做智能标签或标签。RFID电子电梯合格证的阅读器(读写器)通过天线与RFID电子标签进行无线通信,可以实现对标签识别码和内存数据的读出或写入操作。典型的阅读器包含有高频模块(发送器和接收器)、控制单元以及阅读器天线。RFID射频识别是一种非接触式的自动识别技术,它通过射频信号自动识别目标对象并获取相关数据,识别工作无需人工干预,可工作于各种恶劣环境。RFID技术可识别高速运动物体并可同时识别多个标签,操作快捷方便。RFID是一种简单的
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是opencv的c++常用的所有的程序,包括人脸识别,运动物体跟踪,颜色识别,图形图像设计,摄像头定标等。-Is opencv c++ commonly used all programs, including face recognition, moving object tracking, color recognition, image design, camera calibration, etc.
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:基于背景建模的运动目标分割是智能视频监控的重要任务,模型的质量直接影响到检测、跟踪、识别等运动分析的准确性.当前的建模方法多是单层的,忽略了像素特征在时域和空域上的联系,模型描述不够准确,对于背景扰动、全局光照变化及复杂的室内外场景等多种情况鲁棒性不强,导致了分割中出现空洞和噪声点.针对这些问题提出了一种双层建模的方法,在第一层提取时域上的像素亮度特征采用码本建模,第二层提取邻域纹理特征采用基于中心对称的局部二值模式建模.实验证明该方法在用于运动分割时,比常用方法具有更好的准确性和鲁棒性.-M
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使用特征点来代表图像的内容,运动目标跟踪,物体识别,图像配准,全景图像拼接,三维重建-The use of feature points to represent the content of the image, moving object tracking, object recognition, image registration, image mosaics, 3D reconstruction
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Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
Applications include object recognition, robotic mapping and na
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基于dm642的运动检测源码,可实现对运动物体的识别跟踪-Motion detection based on dm642 source code, can realize the recognition of moving object tracking
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OpenCV的模式识别,图像处理,与运动物体跟踪编程-
OpenCV pattern recognition, image processing, and moving object tracking program
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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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计算机视觉中最重要的研究之一就是运动目标检测,其不但在模式识别方面具有相关的研究,而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标,通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法,并就背景差分法进行了重点研究,通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为:视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行
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This example shows how to perform automatic detection and motion-based
tracking of moving objects in a video a stationary camera.
Copyright 2012-2015 The MathWorks, Inc.
Detection of moving objects and motion-based tracking are im
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This example shows how to perform automatic detection and motion-based
tracking of moving objects in a video a stationary camera.
Copyright 2012-2015 The MathWorks, Inc.
Detection of moving objects and motion-based tracking are im
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基于帧间差分的单目标/多目标的实时跟踪程序,基于MATLAB编写。希望对刚学习MATLAB的同学有所帮助-This example shows how to perform automatic detection and motion-based
tracking of moving objects in a video a stationary camera.
Copyright 2014 The MathWorks, Inc.
Detec
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视频监控中运动目标检测、跟踪与行为识别算法的研究(Research on moving object detection, tracking and behavior recognition algorithm in video surveillance)
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本代码为基于arduino平台的图像识别检测跟踪系统的下位机程序,实现简易舵机云台对运动物体的图像追踪,可移植于机器人、飞行器等系统中运用(This code is based on the Arduino platform of image recognition detection and tracking system of the lower computer program, to achieve a simple steering gear head moving object tr
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基于卡尔曼滤波算法的运动目标检测,做视频车道线检测,动态车辆识别,行人检测的朋友可以参考一下(Based on Calman filter algorithm for moving object detection, do video lane detection, dynamic vehicle recognition, pedestrian detection friend can refer to.)
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