搜索资源列表
W4-2000
- 对于视频目标检测和跟踪中跟踪算法--W4算法介绍-For video target detection and tracking in the tracking algorithm- W4 algorithm introduced
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
detection-and-tracking
- 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-Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for
TrackandID1
- 基于opencv环境在视频区域内设置感兴趣区域，在该区域内进行车辆检测以及车辆跟踪。-Based on the opencv environment settings in the video area of the region of interest in the region for vehicle detection, and vehicle tracking.
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
Opencv_vedio-process
- 使用Opencv编写的视频处理程序，能够实现跟踪，增强和彩色化！-Opencv prepared using video processing procedures to achieve tracking, enhancement and colorization!
kalman_camshift-object-tracking
- 基于vs2010+opencv2.4.4调试通过的kalman_camshift跟踪运动物体，测试视频比较简单。-Based on vs2010+ opencv2.4.4 through debugging kalman_camshift tracking moving objects, test video is relatively simple.
motiondetect
- opencv环境下实现对视频中运动目标的识别与跟踪，内含视频为某时段某市区交通情况-opencv environment to achieve the video moving target identification and tracking, embedded video for a certain period of urban traffic conditions
video-processing-
- 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 -Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target d
Kalal-PAMI-2011(1)
- 最新的视频目标跟踪算法。用于监控视频中自动跟踪目标的位置。-Latest video target tracking algorithm. Used for automatically tracking target s position in video surveillance.
particlefiltervs2010
- 粒子滤波程序，可用于目标跟踪，可以处理视频文件或是摄像头采集，仅供学习参考-Particle filter can be used for target tracking, can handle video files or camera capture reference for learning
5
- 了适应跟踪过程中目标光照条件的变化，并对目标特征进行在线更新，提出一种将局部二元模式(LBP) 特征与图像灰度信息相融合，同时结合增量线性判别分析对目标进行跟踪的算法．跟踪开始前，为了获得比较准确的目标描述，使用混合高斯模型和期望最大化算法对目标进行分割；跟踪过程中，通过蒙特卡罗方法对目标区域和背景区域进行采样，并更新特征空间参数．得到目标和背景的最优分类面；最后使用粒子滤波器结合最优分类面对目标状态进行预测．通过光照变化的仿真视频和自然场景视频的跟踪实验，验证了文中算法的有效性．-Trac
matlab-Tracking
- 动态目标的识别与跟踪程序程序，该程序在MATLAB平台可运行，有测试视频，对于学习目标跟踪有较大帮助-Dynamic target recognition and tracking program program that can be run in the MATLAB platform, a test video for the track great help learning objectives
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- 光流算法程序，用来估计背景变化的图像序列或视频序列，可以很好的用来跟踪运动目标-Optical flow algorithm is used to estimate changes in background image sequence or video sequence can be well used to track moving targets. . .
RGB_Detection_and_Tracking
- 检测和跟踪视频中的红色物体.并且能够使用检测到的物体的位置在控制光标在屏幕上的位置。-detect and track red, green and blue objects in Live Video
Demo-Motion-Detection
- Matlab编写的一段程序，利用文档中的Demo文件，通过函数的调用，实现对视频文件中运动目标的跟踪-Matlab prepared for some procedures, the use of the document Demo files through function calls to achieve the video moving target tracking file
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-Algorithm for video presentation include: 1 Static background background prediction target detection 2 Static background frame difference method for target de
video-motion-detection
- 一段视频中运动目标检测跟踪以及画出轨迹设计-Video motion detection
MFC-OpenCV
- OpenCV视频教程,目标检测与跟踪,车辆特征识别,人脸识别,字符识别,特征提取, 图像分割,手势识别,计算机视觉视频教程,opencv基础知识 -OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces
kalman-matlab
- 利用matlab实现的视频目标跟踪算法，利用kalman滤波方法，实时有效的实现跟踪，准确性比较高。-Using matlab realize the video target tracking algorithm using kalman filtering method to achieve real and effective tracking, accuracy is relatively high.