搜索资源列表
Kalman_Filter
- 使用卡尔曼滤波方法对视频中运动的人脸进行检测跟踪标记-Kalman filtering method using video motion detection and tracking human faces mark
asdf
- 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
RLOF_Windows_64__V12
- 一种鲁棒的光流法,实现运动目标检测跟踪,算法抗噪性能强,定位准确-A robust optical flow, detection and tracking moving objects, and strong anti-noise performance algorithms, accurate positioning
vcimageprocessedcc
- 包含所有有关图像处理的源码,图像增强,运动目标跟踪检测,图像恢复,图像去噪等多个图像处理的源码-Contains all the source of image processing, image enhancement, tracking a moving target detection, image restoration, image denoising, and other image processing of source code
mixture_of_gaussians
- 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
Video-Demo
- 使用vc++编写的基于视频的运动目标识别与跟踪,对视频中的车辆进行检测跟踪。-Prepared using vc++ video-based moving target identification and tracking of video vehicle detection and tracking.
ImageProcessing
- 图像处理所以基础程序:图像显示: Bayer抖动显示 Floyd-Steinberg抖动显示 图像增强: 灰度变换 直方图均衡 局部平均平滑 中值滤波 理想低通滤波 Butterworth低通滤波 图象锐化 理想高通滤波 Butterworth高通滤波 伪彩色增强 图像复原: 运动模糊 运动模糊复原 逆滤波退化 逆滤波复原 加噪退化 维纳滤波复原 图像变换: 傅立叶变换 快速傅立叶变换 离散余弦变换 沃尔什变换 霍特林变换 小波变换 小波反变换 图像编码: 霍夫曼编码 香
shipinzhongyundongmubiaojiancesuanfayanjiu
- 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)
PF_Video_EN(1)
- 不依赖于先验知识,直接从图像序列中检测到运动目标,并进行目标识别,最终跟踪感兴趣的运动目标;(Is not dependent on the prior knowledge, directly detect moving targets from the image sequence, and target recognition, ultimately interested in tracking moving target;)
VehicleTrack
- 视频车辆检测,主要是介绍视频中的车辆运动目标的检测和跟踪计数(The detection of video vehicle mainly introduces the detection and tracking of moving targets in video)
CarDetectAndTrack2.0
- 视频车辆检测和追踪,实现一段视频中的车辆运动目标的检测和跟踪。(Video vehicle detection and tracking, to achieve a video vehicle moving target detection and tracking.)
movement_detecting
- 本代码实现的是视频中运动目标的分割,采用了三帧差法进行目标检测。(The code is in the video moving target segmentation, using three difference method for target detection.)
Motion Detection
- 对视频中的运动目标进行检测、跟踪(附件中包含测试视频)(Moving objects in video are detected and tracked)
video
- 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(1. Background prediction method background detection in static background 2. Inter-frame difference method target detection in static background 3. Mean Shift The target track
motioncolor_detect
- 本代码为py-opencv 程序,实现运动物体检测,通过serial与下位机通讯,可移植于windows,linux,以及树莓派,nanopi等平台或设备上,(This code is py-opencv program, to achieve moving object detection, through the serial and the slave computer communication, can be transplanted to windows, Linux, and ra
帧差法检测运动物体取背景
- 视频中运动物体的跟踪,打开视频读取视频,然后进行跟踪(weinerNo matter how familiar we used to be with each other,as long as we are apart then we become strangers)
81404595codebooks
- 对运动车辆进行检测与跟踪,为后续车辆的车速检测和相关的交通参数奠定基础(The detection and tracking of the moving vehicles will lay the foundation for the speed detection of the following vehicles and the related traffic parameters.)
ParticleFilter_double
- 粒子滤波实现对运动的单目标的检测与跟踪,效果良好(Particle filter for single target tracking, the effect is good)
zhenjiancha
- 对视频中的运动目标进行检测与跟踪,采用帧间差法跟踪结果用矩形框表示。(The moving objects in video are detected and tracked, and the result of tracking by frame difference method is represented by rectangle box.)
test2
- 对视频序列中的运动目标进行检测与跟踪,动目标检测部分采用背景差分法,跟踪部分采用卡尔曼滤波,检测结果用红色外接矩形框表示,跟踪结果用绿色矩形框表示 2、采用平均背景法更新背景图像。(The moving target in the video sequence is detected and tracked, the moving target detection part uses the background difference method, the tracking part uses