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运动目标跟踪算法包括:
1. 静态背景下的背景预测法目标检测
2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法
4. 重心多目标跟踪方法
,Moving Target Tracking Algorithm include: 1. Quiescent in the context of target detection in the context of prediction 2. Static background frame difference metho
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无需摄像机标定的摄像机运动跟踪算法
Moving Object Detection Video Surveillance and its Applicationinand Monitoring-Without camera calibration of the camera motion tracking algorithm for Moving Object Detection Video Surveillance and its Applicationinand Monitoring
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针对在复杂背景中检测出多批特定运动目标并实施分配批号实行标记跟踪,本文利用OpenCV的运动物体跟踪的数据结构、函数以及基本框架,建立了一个由人机交互界面模块;运动物体的前景检测模块;运动物体的团块特征检测模块;运动物体的团块跟踪模块轨迹生成模块;轨迹后处理模块组成的视频图像运动目标分析系统。-Aim at detecting,tracking and marking multipule specific targets in complex
background.We use the ba
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用粒子滤波tracking移动中的物体 用matlab实现 很简洁易懂-particle filter tracking moving object
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运动物体跟踪,自动跟踪物体,此代码一种基于OOPENCV库,需要与OPENCV库的链接能使用
-Moving object tracking, automatic tracking of objects, can use this code based on OOPENCV library needs OPENCV link library
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在非常多应用中,希望把运动着的物体检测出来,对其编号并进行跟踪,,最终的到其运动轨迹,本程序源码就是运动物体跟踪的框架
-Very many applications, to moving object detection, and its number and track its trajectory, the final source of this program is a framework for moving object tracking
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视频对象跟踪检测,有效对缓慢运动动的对象进行跟踪提取检测
-Video object tracking and detection effectively slow movement moving object tracking extract detection
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完整的运动物体检测与跟踪算法法。OPENCV实现
-Complete the moving object detection and tracking algorithm method. OPENCV achieve
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运动物体跟踪代码,已经经过本人调试运行,用户可放心使用。-Moving object tracking code,it has to run after I debug, the user can be assured.
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运动物体跟踪代码,已经经过本人调试运行,用户可放心使用。-Moving object tracking code,it has to run after I debug, the user can be assured.
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使用卡尔曼滤波器设计的运动物体跟踪。适用于背景也是动态变化的物体跟踪-Tracking moving objects using a Kalman filter design. Applies to the background also dynamic object tracking
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团块视频运动物体跟踪,基础源代码,改进其算法,可在原有算法基础上添加-Clumps video moving object tracking, the underlying source code, to improve the algorithm can be added on the basis of the original algorithm
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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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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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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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利用Kalman滤波对运动目标跟踪的基本示例(A basic example of moving object tracking using Kalman filtering)
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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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追踪视频图像里移动的物体,并用红框框住移动的物体(Tracking a moving object in a video image)
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Moving object detection and tracking is often the
first step in applications such as video surveillance. The main
aim of project a moving object detection and tracking system
with a static camera has been developed to estimate velocity,
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基于帧间差分法的视频目标检测系统
运动目标自动检测是对运动目标进行检测、提取、识别和跟踪技术,在许多领域都有重要应用。使用帧间差分法设计并实现视频目标的检测系统(Video Target Detection System Based on Interframe Difference Method Moving object automatic detection is a technology of detecting, extracting, recognizing a
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