搜索资源列表
Omotion_slicep
- 使用opencv编写的提取avi视频的水平和垂直时空空切片的程序。可以用于视频镜头切换检测，和运动目标检测。 -The use of opencv written the horizontal and vertical when empty slice of the program to extract the avi video. Can be used for video shot change detection and moving target detection.
imovving_and_n
- 里边包含了目前最常用的运动目标检测与跟踪的代码，有lk、meamshifft还有摄相机加采集卡的图像在Visual C++里显示出来。 已通过测试。 -Contains the most commonly used in moving target detection and tracking code inside lk meamshifft camera and capture card images are displayed in Visual C++. Has been teste
B220166197452a
- 基于图像处理的运动目标检测跟踪系统的设计与实现的论文，是一篇篇博士论文，在研究有关目标跟踪与检测的时候，有很多可借鉴之处。 -Design and Implementation of a paper-based image processing of moving target detection and tracking system, is a doctoral theses, research on target tracking and detection time, have a
VideoDemo
- VC++视频处理框架，一款VC++视频目标检测演示框架的【源代码】，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 -VC++ video processing framework, target detection demonstrates the framework of a VC++ video [source code],
boosting-object-detector
- 基于MATLAB的boosting目标检测!-Detection based on MATLAB boosting goals!
paper1007
- 利用样本协方差矩阵特征值分解实现双通道SAR动目标检测.pdf-Dual Channels SAR Ground Moving Target Detection with Eigen-decomposition of the Sample Covariance Matrix
Object-Tracking-and-Detection
- 视频跟踪与目标检测，外国人写的，非常有用-Video tracking and target detection, written by foreigners, is very useful
VideoDetect
- 基于OpenCV的简易目标检测跟踪程序，能够实现对每帧视频的连续编号截图，可以实现键盘对视频播放的控制，能对每一视频帧生成包含运动目标区域的前景图像，采用某种策略实现对运动目标的跟踪，并用矩形框+编号将运动目标标出。-A simple target detection program base on OpenCV , which can numbered consecutively for each frame of video screenshots, keyboard control the
TAdaaBoostdeeh
- 此源代码,是一个实现Adaboost算法的程序源码，对于于人脸识别与目标检测非常有用。 -This source code is an implementation of the program source code of the Adaboost algorithm, is very useful for face recognition and target detection.
VVideoTracki
- 视频运动目标检测和跟踪，在vc6.0下调试通过，测试的视频必须是非压缩的AVII视频内容包括视频运动目标的检测，对检测的目标利用MeanShift算算法实现跟踪 -Video moving target detection and tracking in vc6.0 debugging by video of the test must be non-compressed the AVII video content, including video moving target detect
target-detection-algorithm-
- 为克服传统目标识别方法在处理空间特征分布极为复杂的数据时的缺点，提出1 种基于决策树的多特征检测算法，并将其应用到基于视频的海上搜救目标检测中. 该算法首先提取图像中的颜色、亮度等信息，通过计算各特征的信息增益建立决策树，将搜救目标检测问题分解成3 层决策树分类问题. 实验表明，该算法能够提高多特征目标检测的效率，在救生艇、筏等海上搜救目标检测的应用中取得较好的结果.-Characteristics to overcome the traditional target recognition m
jiegou-mubiaojiance
- 结合物体结构的目标检测（以人脸为目标）效果图片http://www.opencvchina.com/forum.php?mod=viewthread&tid=487&fromuid=267 结合物体结构的目标检测 http://www.opencvchina.com/forum.php?mod=viewthread&tid=486&fromuid=267-The combination of object structure, object detec
gauss
- 基于高斯建模的运动目标检测，学习资料 pdf格式-Gaussian modeling moving target detection, learning materials pdf format
zuihoubeijing
- 基于背景差法的运动目标检测程序，在此基础上进行人数统计-Moving target detection procedures based on background subtraction method, based on demographics
zhenchafa
- 里面有两个程序，一个是帧差法的运动目标检测程序（matlab），另一个是简单的视频倒叙播放，记得播放文件要用无压缩的avi格式视频文件，不然老出错，简单适合新手-There are two programs, one frame difference method of moving target detection program (matlab), the other is a simple flashback video playback, remember to play the fil
A-self-organizing-approach-
- 本文章主要是研究前景检测中的移动目标检测的方法。以此来实现相关功能-A self-organizing approach to background subtraction for visual surveillance applications
Survey-of-pedestrian-detection-
- 分析行人移动目标检测的相关外文文献，实现了基于背景建模的相关方法-Survey of pedestrian detection for advanced driver assistance systems
An-improved--background-model-
- 在移动目标检测中的，在高斯背景建模的基础上滤除阴影OpenCV-An improved adaptive background mixture model for real-time tracking with shadow detection（在高斯背景建模的基础上滤除阴影OpenCV
object-detection
- 关于目标检测的硕士论文，采用了三帧差分的方法来获取运动目标，然后采用CAM_shift的方法对运动目标进行跟踪。-Master' s thesis on target detection the three differential method to obtain the moving target, and then using CAM_shift methods to track the moving target.
Gaussian-background
- opencv下写的关于高斯背景的程序，是目标检测的较好的方法，可以构建高斯背景模型，再利用背景剪除法，即可获得运动目标。-procedures the opencv to write on the Gaussian background, is a better target detection method can build the Gaussian background model, re-use background pruning method, you can get a movin