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Camera2test
- 视觉跟踪,可以使用笔记本摄像头或者其他摄像头，对象寻找和跟踪，轨迹实现(Visual tracking, you can use a laptop camera or other camera, object search and tracking, track to achieve)
C 实现对摄像头前特定单一颜色物体的识别与追踪
- C 实现对摄像头前特定单一颜色物体的识别与追踪(C implements the recognition and tracking of a single color object in front of the camera)
EKF Tracking Object in 3-D
- 扩展卡尔曼滤波在matlab中的应用，对初学者有参考作用(Application of extended Calman filtering in MATLAB)
视频匹配
- 连续采集图像和对物体进行跟踪，并输出物体的像素坐标(Continuous image acquisition and tracking of objects, and output pixel coordinates of the object)
code
- 以常见的监控摄像头的实时视频信号为输入采用基于神经网络的YOLO目标检测算法进行检测与特征提取，最后利用自己的多目标追踪算法实现人流量统计和目标对象保存(Taking the real-time video signal of the surveillance camera as the input, the YOLO target detection algorithm based on the neural network is used to detect and extract the
aras_visual_servo-master
- The aim of visual servoing is tracking an object by the feedback information of the vision sensor. There are different techniques for controlling the system, in this work, Image based visual servoing has been chosen. The goal of propsed system is tra
camshiftdemo
- 此代码用于设计摄像机动态视觉追踪，用户可以圈出目标物体，目标物体移动过程中会一直被跟踪(This code is used to design camera dynamic visual tracking, the user can circle the target object, the target object will be tracked in the process of moving.)
多目标跟踪opencv
- 先用背景差分完成目标提取，将运动目标的相关信息放入到链表中，通过帧差完成对多目标的跟踪，达到实时性的要求 运动目标的相关信息存放于结构体中，可以在此基础上判断目标的动作行为跟踪基本框架，opencv编写，利用背景差分，质心法可以跟踪多个目标，并分配ID号，记录行动轨迹，可用于车辆道路等，大家可以参考学习下，效果有待改进，不同的视频会有不同的效果。(The relevant information of the moving object is stored in the structure.
BP
- 基于BP神经网络的中PID控制，把被控对象的模型，现在变为二阶传递函数：G(s)=1/(0.003s^2+0.067s) ，想仿真此对象的阶跃跟踪的效果(Based on BP neural network PID control, the model of the controlled object, now turned into second order transfer function: G (s) = 1 / (0.003 s ^ 2 + 0.003 s), to the simul
【10】点追踪
- 实现视频中标记点的追踪，有标记的点确定一个物体的位置(Tracking markup points in video,A marked point determines the position of an object)
python计算机视觉.pdf
- 本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on
GPS
- 以机载GPS接收机为对象，基于matlab通信工具箱模拟其捕获和跟踪GPS信号过程(Taking the airborne GPS receiver as the object and simulating its capture and tracking of the GPS signal process based on the MATLAB communication toolbox)
感应加热电源的研究
- 超音频串联谐振式感应加热电源为研究对象，应用锁相环和PID 技术，采用数字信号处理器(DSP)和复杂可编程逻辑器件(CPLD)联合控制的数字化技术实现感应加热电源的频率跟踪和0°～180° 自由移相调功，为感应加热电源系统的数字化、信息化、柔性化、智能化控制提供了优质、可靠的技术基础。(Superaudio series resonant induction heating power supply as the research object, the application of PLL a
caffe-cvpr
- 显着区域检测是计算机视觉中长期存在的问题。它旨在找到最能吸引人眼睛注意的图像中的像素或区域。准确和可靠的显着性检测可以从视觉追踪和识别到图形图像处理等众多任务中受益。例如，成功的对象检测算法有助于自动图像分割，更可靠的对象检测，有效的图像缩略和重定位(Significant regional detection is a long-term problem in computer vision. It aims to find the pixels or regions of the most
Theory kalman filter2
- Kalman Filter program for object distance and speed tracking
视频追踪
- 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)
Matlab_STCv0
- In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a
帧间差法视频目标检测
- 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
PV_inverter_grid_connected
- 以单相光伏发电并网系统为研究对象，针对光伏发电并网技术，深入分析了光伏发电最大功率点跟踪技术和逆变器并网控制技术。在Simulink中搭建了光伏电池模型、基于扰动观测法的MPPT模型和使用电压电流双闭环SPWM控制策略来并网。(Taking the single-phase photovoltaic power grid system as the research object, aiming at the photovoltaic power grid technology, this pa
Python机器视觉编程
- 《Python计算机视觉编程》是计算机视觉编程的实践指南，依赖Python语言讲解了基础理论与算法，并通过大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。另外，书中附带的练习还能让读者巩固并学会应用编程知识。("Python Computer Vision Programming" is a practical guide to computer vision pro