搜索资源列表
logmeanshift
- 实现空间变分辨率的视频跟踪，采用变分辨率与meanshift相结合的方法，来实现对目标的跟踪。-Spatial variable resolution video tracking, the use of variable resolution and the method of combining meanshift to achieve the target tracking.
An-Object-Tracking-Method-
- 室外场景下由于场景背景条件变化容易导致视频目标跟踪稳定性差。该文提出一种利用红外和可见光传感 器的双通道视频目标跟踪方法。该算法利用可见光图像的目标颜色特征和红外图像的目标轮廓特征，结合均值漂移 算法与水平集曲线演化实现目标定位，并给出了目标尺度和模板更新方法；对多目标跟踪的互相遮挡问题，通过判 断目标合并与分离实现遮挡时多个目标的定位。实验结果表明，该文方法能够有效处理光照变化、阴影、遮挡等情 况，实现目标的稳定跟踪。-Considering the poor stabilit
VideoTracking
- 用VC编写的视频跟踪的程序，能够有效的跟踪运动目标-video tracking procedures prepared by the VC , it can effectively track moving targets
mutitarget-tracking
- 4篇文章：Multiple Object Tracking Using K-Shortest Paths Optimization；Moving target classification and tracking from real-time video；高斯混合概率假设密度滤波器在多目标跟踪中的应用；基于特征迹的密集多目标自适应视频跟踪-4papers:Multiple Object Tracking Using K-Shortest Paths Optimization；Moving ta
SIFT_Tracking
- video tracking system real time recorded very good work including video processing in matlab
Video-Demo
- 视频演示算法包括： 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 -Video presentation of algorithms include: 1、Static Background prediction of target detection. 2、static background frame difference method target detection
Video-Demo
- 程序包括： 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 对于做视频跟踪的很有帮助，程序很完整 -The procedures include: 1. Background prediction method in the static context of target detection. A static context of inter-frame difference
Human-Motion-Tracking
- 一个人体运动识别跟踪的示例程序，里面附带了一个运动视频，运行run.m文件。程序里包含了轮廓提取，跟踪算法，很好的tracking学习程序-A human motion recognition tracking sample program, which comes with a sports video, to run run.m file. The program includes a contour extraction and tracking algorithm, good track
CVMeanshift
- 利用CSharp编译数字图像处理库文件，并且应用该库文件在视频跟踪技术工程，采用MeanShift算法，附带算法使用图片资源-Use of the the CSharp compiler digital image processing library files, and application of the library file in the video tracking technology engineering, using MeanShift algorithm, inciden
Video-surveillance
- 视频监控系统目标捕获和跟踪常用算法主要有时域和频域两种跟踪算法。根据视频监控的实时性、可靠性、跟踪定位准确等特点，对时域跟踪算法中相关模板匹配算法进行研究，同时对算法进行了优化，并给出相应的仿真结果。-The video surveillance system target acquisition and tracking algorithms commonly used mainly tracking algorithm sometimes both time and frequency do
kaerman-object-tracking
- 卡尔曼滤波器实现的视频目标跟踪程序，可以直接实现，对于理解该滤波器有重要作用-Kalman filter video target tracking procedures, can be directly implemented an important role in understanding the filter ...
kalman-filtering-
- 主要讲解了卡尔曼滤波在视频跟踪中的应用，本文比较基础，起到一个引导作用-Mainly explained the kalman filtering in the video tracking application, this paper makes a comparison of the foundation, plays a guiding role
kalman-tracking
- 卡尔曼滤波实现视频运动目标的跟踪，觉得可以运行，选择一个avi视频文件即可-Kalman filtering video moving target tracking, that can run, select an avi video file can be
tracking
- 视频的运动目标跟踪，目标可自行框定选择。采用MeanShift、纹理特征及混合高斯模型等融合的方法。目标跟踪效果非常好，尤其运动速度较快情况，以及人物间遮挡情况。-Video moving target tracking, the goal of self-framed choice. Of MeanShift, texture feature and mixed Gaussian model fusion method. Target tracking performance is very
Video-Demo
- VC++视频图像运动目标检测，视频演示算法包括： 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 视频只限于RGB非压缩Windows AVI格式-VC++ video image moving target detection, video presentations algorithm including: 1. The background prediction target d
Human-tracking-system
- vc++视频监控下的人体运动检测与跟踪主要功能是对室内，室外，固定背景下的运动人体进行检测并进行相应的跟踪-The main function of the detection and tracking of human motion vc++ video surveillance detection and tracking the movement of the human body in the indoor, outdoor, fixed background
DTASvm
- 对视频中的人物进行跟踪，标定。有对人形进行处理的部分，操作等。-Character video tracking calibration. Doll, part of the processing, operation, etc..
Trackmeanshift
- Trackmeanshift圆形算法视频跟踪-Round Trackmeanshift algorithm video tracking
detecting-and-tracking
- 视频序列中二维运动目标的检测与跟踪算法演示-Video sequences dimensional moving target detection and tracking algorithm demo
Motion-Detection-in-Video-
- 在VS2008环境下实现视频序列中，运动目标的检测和跟踪，包括帧差法、背景差分法、MeanShift算法。-In the VS2008 environment for video sequences, moving target detection and tracking, including frame difference method, background subtraction, MeanShift algorithms.