搜索资源列表
trackAnts
- 运动跟踪,跟踪视频中的运动物体并绘出运动轨迹的源代码。c++，vs2010，opencv2.4.8-Motion tracking, video tracking of moving objects and plots the trajectory. vs2010, opencv2.4.8
test0522-1testdrawcontours
- 检测视频中车辆，标注车辆的运动轨迹，速度，加速度等信息-Detection of vehicles in the video, marking the vehicle s trajectory, speed, acceleration and other information
AVPF
- 视频跟踪辅助粒子滤波程序AVPF，用于运动目标的视觉跟踪-Auxiliary particle filter video tracking procedures AVP, for visual tracking of moving objects
video-image-stabilization
- 利用角点进行全局运动参数求解，然后进行视频稳像。-CORNER solving global motion parameters, and then the video image stabilization.
background-segmentation
- 21.【高斯处理视频并跟踪运动做前景背景分割】bgfg221.【高斯处理视频并跟踪运动做前景背景分割】bgfg2-Gauss processing video and tracking motion foreground background segmentationGauss processing video and tracking motion foreground background segmentation
motion_src
- 基于VFW视频的运动目标检测,可以对摄像头拍摄到的运动目标检测。-Moving Object Detection Based on VFW video，The camera can shoot to the moving target detection.
yundongbuchang
- 视频处理中对于视频的压缩中的运动补偿与运动估计-Video processing motion estimation and motion compensation
Target-tracking
- 有关图像处理的，用于视频中的运动物体的检测和目标追踪。-For image processing, the detection and target tracking of moving objects in video.
FeatureTracker
- OpenCV2例程视频中的特征点运动轨迹跟踪-OpenCV2 routine video feature point trajectory tracking
Background-isolated
- 背景分离，高斯处理视频，并做前后背景分离，跟踪运动目标-Background separation, Gaussian process video, and do before and after the separation of the background and track moving targets
smoke_detection
- 使用VS2010+openCV。本文是基于颜色模型和运动模型对含有烟雾的视频进行烟雾检测的。首先利用RGB颜色模型的方法，检测出烟雾区域以及疑似烟雾区域；接着用背景相减的方法，检测出运动的物体；最后结合两种方法，只检测出运 动的烟雾区域，提取烟雾最大轮廓，绘制矩形框以示意。通过设置R、G、B的参数及阈值，可以得到满意的效果。 -Use VS2010+openCV. This paper is based on the color model and motion model for sm
flowdetection
- 利用图像光流信息检测视频序列中是否存在剧烈运动情况-Whether there is the use of optical flow image information detecting video sequences violent movement
Optical-flow
- LK光流，快速检测视频中的运动物体，并实现追踪预测-LK optical flow, fast detection of moving objects in the video, and realize the tracking prediction
MODby-frame-difference-method
- Moving object detection by frame difference method是当前视频图像领域进行动目标捕捉的最简单有效的方法，核心思想是从视频中提取每一帧，并与下一帧做相关检测，通过相关系数提取运动的目标。-Moving target detection and frame difference method is the current video image field is moving the most simple and effective method t
Video-Demo
- 使用vc++编写的基于视频的运动目标识别与跟踪，对视频中的车辆进行检测跟踪。-Prepared using vc++ video-based moving target identification and tracking of video vehicle detection and tracking.
zidongshibie
- 基于labview的自动识别小车的实现。视频采集和处理 需要VDM模块，本文件上位机只给出了运动控制-labview automatic recognition of car-based implementation. Video capture and processing needs VDM module, this document only gives PC motion control
MovingDetect123
- 将视频中的运动目标提取出来，将视频中的背景模型建立起来，并显示。-The video of the moving object is extracted, the video background model built up and displayed.
Untitled
- 基于三帧差分法的运动目标识别，简单有效，更换视频名即可直接运行。-Three difference method of moving target recognition, simple and effective, replace the name of the video can be run directly. Based
filter-in-video-sequences
- 粒子滤波理论是近年来跟踪领域的热门研究课题。在该领域，传统的卡尔曼（Kalman）滤波器是非常经典的运动目标跟踪工具。然而经典亦有其弊端，卡尔曼滤波对于非线性及非高斯环境下的工作能力相当无力。为解决这一问题，本文提出了一种基于粒子滤波的目标跟踪方法。其核心为以粒子(一种随机样本，携带权值)来表示后验概率密度，从而得到基于物理模型的近似最优数值解，其优点在于能在追踪的过程中实现更高的精度和更快的收敛速度等。粒子滤波通过加权计算这些带有权重的随机样本来得到目标的近似的运动状态，因此对于非高斯和非线性
reconig
- 运动目标跟踪，本程序是基于视频的运动目标跟踪，能够有效的画出运动轨迹-Moving target tracking, this procedure is based on the video moving object tracking, to draw the trajectory effectively