搜索资源列表
Moving-Target-Detection
- 针对视频监控系统中运动目标的检测与跟踪技术研究,本文比较运动目标检测的各种方法,采用背景差法来对运动目标进行检测,并阈值化和二值化检测出运动目标区域,能达到很好的检测效果。同时,利用卡尔曼滤波器对检测出来的运动目标进行预测和跟踪,实验验证跟踪效果较好。 -To solve the moving target detection and tracking in video monitoring system,in this paper,the various methods of moving
yundongfenge1
- 视频运动目标的运动分割，基于帧差和背景减。学术论文。-Video moving target motion segmentation, based on frame difference and background reduction. Xueshulunwen.
yundongfenge2
- 视频运动目标的运动分割，基于帧差和背景减。学术论文。-Video moving target motion segmentation, based on frame difference and background reduction. Xueshulunwen.
yundongfenge3
- 视频运动目标的运动分割，基于帧差和背景减。学术论文。-Video moving target motion segmentation, based on frame difference and background reduction. Xueshulunwen.
yundongfenge4
- 视频运动目标的运动分割，基于帧差和背景减。学术论文。-Video moving target motion segmentation, based on frame difference and background reduction. Xueshulunwen.
yundongfenge5
- 视频运动目标的运动分割，基于帧差和背景减。学术论文。-Video moving target motion segmentation, based on frame difference and background reduction. Xueshulunwen.
lianxushipinfengeyucaiji
- 用matlab实现连续视频的分割与采集，其中用读视频指令把连续的视频转化为一帧一帧的图像，用帧间差分法和背景差分法实现-Matlab for continuous video with the segmentation and the acquisition, including video instruction with the reading of the continuous video into a frame of an image, with the frames and the
0010231
- 视频车辆检测识别系统设计论文，基于视频交通流检测，利用背景差法-Video vehicle detection and recognition system design papers, video-based traffic flow detection, the use of background subtraction
dspmotion
- 基于背景差分法和帧间差分法的视频运动检测-Based on background difference and frame difference method of video motion detection
background-differ
- 研究了背景差分算法，并设计了一种对多车道路段的车流量检测系统。首先通过背景差分的方法，实现了运 动前景和背景的分割 进一步使用虚拟检测线实现了多车道车流量的检测-The background difference algorithm was studied，and a traffic flow measuring system for multilane road was designed
beijingcha
- 该文档里面包括了基于背景差的视频图像分割方法的相关论文。学习很有用-This document which includes the relevant papers of the poor video images based on background segmentation method. Learning useful
Untitled
- 简单背景下的红外目标检测，本程序用背景差分法实现目标检测，效果很好。-Simple under the background of the infrared target detection, the background difference method is used to implement target detection program, the effect is very good.
abc
- 背景差和帧差法实现运动人体的跟踪，具有搞噪声和消除大部分阴影功能-Background subtraction and frame difference method to achieve the tracking of the movement of the human body to engage in noise and eliminate most of the shadow function
fuzabeijinggenzong
- 介绍了一种常用的Kim目标分割方法,并 针对其不足,对Kim方法进行了改进,将连续两帧的差分图像和背景差分图像直接相乘得到灰度图 像,然后对该灰度图像进行阈值分割来获取目标区域模板,再基于灰度加权图像模板匹配法实现目标 跟踪 -A common Kim target segmentation, and for its shortcomings, Kim method improvements, the two consecutive frames of the different
FIVE
- OpenCV实现静止背景下运动目标的检测,通过背景差法检测出运动的目标。-OpenCV implementation static background moving target detection by background subtraction method to detect moving targets.
ftyufttidt
- 基于五帧差分和背景差分的运动目标检测算法_郝毫刚-Based on five difference and background difference of moving target detection algorithm _ Hao Gang milli
Moving-Object-Detection-and-Tracking
- 研究了目前运动对象检测与跟踪的一些常用方法,包括时域差分法、背景差分法、基于光流场的检测方法和卡尔曼滤波、特征光流法的跟踪方法,并对各种方法进行了比较,指出其优缺点及适用范围,并给出了时域差分及背景差分方法的实验结果-Currently some of the commonly used methods to study the detection and tracking of moving objects, including difference time domain method, b
Otsu算法(大律法或最大类间方差法).doc
- 利用阈值将原图像分成前景，背景两个图象。 前景：用n1,csum,m1来表示在当前阈值下的前景的点数，质量矩，平均灰度 后景：用n2, sum-csum,m2来表示在当前阈值下的背景的点数，质量矩，平均灰度 当取最佳阈值时，背景应该与前景差别最大，关键在于如何选择衡量差别的标准，而在otsu算法中这个衡量差别的标准就是最大类间方差（英文简称otsu，这也就是这个算法名字的来源），在本程序中类间方差用sb表示，最大类间方差用fmax
bishe1
- matlab GUI环境下的手势分割 采用肤色和背景差分 普通摄像头-gesture segmentation matlab GUI environment using color and background subtraction ordinary camera