搜索资源列表
opticalflow.rar
- 用光流法进行运动物体的检测和跟踪，并返回运动方向,Light flow method of moving object detection and tracking, and return to the direction of movement
multiple-object-detection
- 多目标检测，可用于视频监控，视觉目标跟踪，运动检测，及其它图像处理中的相关应用。-This code contains multiple object detection adaptable to visual surveillance, visual object tracking, motion estimation and other image processing applications.
Tracking
- 使用VC++ 6.0 和 OpenCv实现粒子滤波目标跟踪算法，主要功能在MFC对话框内实现。-particle filter object tracking
track.zip
- matlab tracking source code to track a moving object on the scene by using centroid and rectangle method,matlab tracking source code to track a moving object on the scene by using centroid and rectangle method
GMM
- 本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual objec
ContourTrack
- 运动目标轮廓跟踪代码，运用OPENCV实现，效果还不错-Moving object contour tracking code, the use of OPENCV implementation, results were pretty good
camshift
- 使用camshift方法进行运动目标跟踪，（修改了网上原有的camshift算法里的一些bug）-moving object tracking by camshift method,(modification edition of the original code on the web)
opencv
- opencv目标检测与跟踪系统，能够很好的跟踪到目标，并将目标框起来。-opencv object detection and tracking system, to a very good track to the target, and target frame.
position
- 基于单目手眼相机和激光测距仪，提出了一种尺寸未知的空间矩形平面的位姿测量算法。该算法不需要知道矩形平面 的G 个顶点的物体坐标，只需要知道它们的图像坐标、激光点的图像坐标和激光测距结果，就能够计算出尺寸未知空间矩形平 面在相机坐标系下的位姿，并且计算出矩形平面的尺寸。通过建立单目手眼相机和激光测距仪的数学模型，对该算法进行了验 证。实验结果表明，该算法是有效的，可以应用于机器人对空间物体的跟踪、定位以及抓取。-Monocular-based hand-eye cameras and
MovingObjectDetectionVideoSurveillanceanditsApplic
- 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
ReadingPeopleTracker-1.25
- 视频对象的跟踪提取原代码。 在一段视频里面可以跟踪人的运动，并且替换 -Extraction of video object tracking source code. In a video which can track people
1
- Video object matching across multiple independent views using local descr iptors and adaptive learning文章描述了多摄像机系统下的目标检测与跟踪，和自学习方法。很有参考价值。-Video object matching across multiple independent views using local descr iptors and adaptive learning article d
py
- 本程序用于提取背景检测运动物体，并对物体进行跟踪，数据来源可以是视频文件或者摄像头。-This procedure used to extract the context of moving object detection and tracking objects, data sources can be a camera or video files.
SoftwareProjectTracking
- The purpose of Software Project Tracking and Oversight is to provide adequate visibility into actual progress so that management can take effective actions when the project s performance deviates significantly from the plans.
identification
- 模型参考自适应控制系统由参考模型、受控对象、控制器和自适应律等组成。系统设计的核心是综合和设计控制器和自适应规律，使系统能稳定跟踪参考模型的输出[2]。近年来，对时变系统的自适应控制的研究已取得了较大的进展。在文[3]的基础上，本文针对线性时变系统的一种改进的模型参考自适应控制方案进行仿真研究，仿真结果说明了该控制方案的可行性。-Model reference adaptive control system consists of a reference model, the controlle
prasa2003
- Using colour features for video-based tracking of people in a multi-camera environment.-Using colour features for video-based tracking of people in a multi-camera environment.
biye
- 基于投票算法的目标跟踪,基于二阶非线性投票的多目标跟踪算法。该算法通过目标匹配得到同一目标在不同帧中的位置，同时利用特征监测来处理目标的遮挡、分裂问题，并实现目标特征的实时更新。在目标匹配过程中，通过对目标前一帧与当前帧的特征相似性进行投票，得到匹配目标。利用视频图像进行实验，结果表明：该方法对噪声、阴影、遮挡、分裂等具有良好的鲁棒性，较好地实现了多目标的跟踪。-The method used object matching to get objects’ position in differe
snake
- Snake模型是广泛应用于数字图像处理的目标轮廓跟踪算法-Snake model is widely used in digital image processing of the object contour tracking algorithm
Tracking_and_Object_Classification_for_Automated_S
- O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》. 这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" .
Object_Classification_and_Tracking_in_Video_Survei
- Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. 这篇文章是有关多运动目标分类的文章。使用常用的长宽比作为分类特征，结合角点特征。提高了人车的分类效果。-Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. This article is about the many obj