搜索资源列表
opencv-moving-object-detection
- opencv 运动物体检测，代码经过检测，可实现运动物体的跟踪检测-opencv moving object detection code after detection, tracking of moving objects detected
OpenCV-VIDEO-DETCTION
- 计算机视觉是研究用计算机模拟生物外显或宏观视觉功能的科学和技术。作 为计算机视觉研究的一个分支—运动目标的检测与跟踪，就是对视场内的运动目 标，如人或车辆等，进行实时的观测，并在此基础上对被观测对象进行分类，然 后分析它们的行为。近年来，计算机视觉的研究重点已经从对静态图像的研究过 渡到对动态图像序列的研究上面，这方面的典型应用包括自动化的视频监控系 统、视频MPEG编解码技术、人机交互的感知接口、军事上的制导、雷达视频 图像中的
OpenCV-camshift-meanshift
- 基于VC6.0环境下的openCV-Camshift全自动跟踪，附有详细注释-Automatic tracking in VC6.0 environment based on openCV-Camshift, with detailed notes
Pedestrian-detection-and-tracking
- 行人检测与跟踪，是基于opencv和vc6.0-Pedestrian detection and tracking is based on opencv and vc6.0
OpenCV
- OpenCV CamShift. Real time hand tracking using backprojection , camshift and kalaman filter
opencv
- opencv 图像跟踪 用质心跟踪运动物体 并可手动标记运动物体-opencv C++ Tracking moving objects with a mass center moving objects can be manually tagged
color-object-opencv
- color object tracking camshift opencv
color-object-opencv
- color object tracking opencv camshift
tracking
- opencv 半自动跟踪，里面有实例的程序和视频-the opencv semi-automatic tracking, there are instances of the program and video
OpenCV-video-detection-and-tracking
- 基于OpenCV的视频道路车辆检测与跟踪，包含程序，已调试通过-Based the OpenCV video road vehicle detection and tracking
Opencv-ref-man-2.3.1
- opencv 2.3 英文详解 比较新 目录如下 Introduction 1 1.1 API Concepts 12 core. The Core Functionality 7 2.1 Basic Structures .7 2.2 Basic C Structures and Operations 45 2.3 Dynamic Structures 77 2.4 Operations on Arrays104 2.5 Drawing Functions
opencv-based-intrusion-detection
- 这是一个基于opencv入侵检测，跟踪目标，显示每帧入侵物的数量，并发出报警-This is a opencv-based intrusion detection, target tracking, display each frame invaders number, and alarm
opencv
- 关于运动目标的跟踪检测算法，CAMSHIFT经典算法，对研究这一领域的技术十分重要-Tracking moving targets detection algorithm, CAMSHIFT classical algorithm, the study of technology in this field is very important
Moving-target-detection--opencv
- 运动目标自动跟踪检测，选择一块区域，根据一些色差值等，检测相关点-Moving target tracking and detection automatically select an area, according to some color difference detection point
camshift_emgucv
- emgucv 截图 跟踪监测 opencv 图像处理-emgucv screenshot image processing opencv tracking and monitoring
tract
- OpenCv实现视频中运动物体跟踪 三帧差法 滤波 绘制矩形框区-OpenCv tracking moving objects in video three difference method draws a rectangle filtering area
MeanShift-Kalman-tracking-algorithm
- 结合kalman滤波的meanshift跟踪算法，meanshift算法是一种经典的均值漂移跟踪算法，采用颜色直方图作为跟踪特征，具有很高的稳定性和鲁棒性，kalman滤波是一种线性滤波预测算法。在meanshift算法中引入kalman滤波，可以提高算法的稳定性，同时提高算法执行效率。代码中除了avi格式视频读取采用opencv库函数外，核心算法均为纯C++实现，注释详细，很容易理解，同时具有很高的参考价值。 -Meanshift kalman filtering combined track
Human-Motion-Tracking
- opencv 实现人体运动跟踪，精度中等，有一定的参考价值。-opencv schieve human motion tracking, accuracy is only moderate, there is some reference value.
Multiple-Tracking-Finishment
- opencv 实现人体的多目标跟踪，跟踪精度中等，有待进一步的提高，但有一定的参考价值。-opencv realize the human body tracking, tracking accuracy middle, to be further improved, but there is a certain reference value.
Tracking
- 基于粒子滤波的目标跟踪源代码，调试通过,OpenCV源码-Objection Tracking