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meanshift tracking vc6
- 采用MeanShift算法对视频中目标进行跟踪，程序在vc6.0 MFC多文档结构下运行通过，视频第一帧的目标位置和大小需要在事先指定。
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.
paper3
- 滤波与多特征融合的视频目标跟踪，维普资讯上下的，有需要的可以-Filtering and multi-feature fusion video target tracking, VIP information from top to bottom, there is a need to look at the
blobtrack
- 针对在复杂背景中检测出多批特定运动目标并实施分配批号实行标记跟踪，本文利用OpenCV的运动物体跟踪的数据结构、函数以及基本框架，建立了一个由人机交互界面模块；运动物体的前景检测模块；运动物体的团块特征检测模块；运动物体的团块跟踪模块轨迹生成模块；轨迹后处理模块组成的视频图像运动目标分析系统。-Aim at detecting，tracking and marking multipule specific targets in complex background．We use the ba
PhD-thesis-
- 博士论文 智能视频监控中的多特征融合问题研究和自然条件下的运动目标鲁棒跟踪方法研究-PhD thesis intelligent video surveillance and more features in the integration of research and under natural conditions, robust tracking of moving targets
04073MotionDetection
- c++mfc实现运动目标跟踪，基于多文档文件开发，对视频中运动目标实现跟踪与定位，实现对目标方位预测等-c++ mfc moving target tracking, multiple-document-based document development, in the video moving target tracking and positioning, to achieve the forecast target orientation, etc.
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
multitracking
- 基于OpenCV2.4.4+Visual Studio2008下的多目标跟踪代码。基于帧间差分法判断视频的背景和前景。-OpenCV2.4.4+ Visual Studio2008-based multi-target tracking code. Based on inter-frame difference method to determine the background and foreground of the video.
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
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
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
module
- 该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等-The program for a new algorithm based on particle filter, comprehensive MCMC Bayesian Model Selection is MONTE CARLO algorithm of marek s chain, used to i
multiObjectTracking_final
- 用matlab实现的多目标跟踪，输入视频格式为avi-With multi-target tracking matlab implementation, the input video format to avi
MCMC
- 该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等,解决非线性问题的能力比卡尔曼滤波,EKF,UKF好多了,是我珍藏的好东西,现拿出来与大家共享,舍不得孩子套不着狼,希望大家相互支持,共同促进--the program based on particle filter for a new algorithm, Integrated Bayesian MCMC
fengqai_v54
- 多目标跟踪的粒子滤波器，匹配追踪和正交匹配追踪，实现了图像的灰度化并进一步用于视频监视控。- Multi-target tracking particle filter, Matching Pursuit and orthogonal matching pursuit, Achieve a grayscale image and further control for video surveillance.
lunyei
- 基于欧几里得距离的聚类分析，实现了图像的灰度化并进一步用于视频监视控，多目标跟踪的粒子滤波器。- Clustering analysis based on Euclidean distance, Achieve a grayscale image and further control for video surveillance, Multi-target tracking particle filter.
qiuqang
- 多目标跟踪的粒子滤波器，实现了图像的灰度化并进一步用于视频监视控，进行逐步线性回归。- Multi-target tracking particle filter, Achieve a grayscale image and further control for video surveillance, Stepwise linear regression.
3854
- 快速扩展随机生成树算法，多目标跟踪的粒子滤波器，实现了图像的灰度化并进一步用于视频监视控。- Rapid expansion of random spanning tree algorithm, Multi-target tracking particle filter, Achieve a grayscale image and further control for video surveillance.
text
- 视频跟踪，多目标追踪，OpenCV，红外视频，对运动的目标监测(Video tracking, multi target tracking, OpenCV, infrared video, target monitoring for motion)
图像与视频处理
- 提取物体的特征，效果特别好！利于以后的目标识别与跟踪(Extraction of the characteristics of the object, the effect is particularly good!)