搜索资源列表
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
MATLAB-Target-tracking
- 用MATLAB对视频中的动态目标进行跟踪检测(包含单目标和多目标)。-Using MATLAB to achieve the detection of moving objects in the video stream, static background single target and multi-target detection.
VideoFilter
- 视频镜头检测及分割,实现过滤冗余镜头的作用-Video shot detection and segmentation, to achieve redundancy filtered lens effect
opencv-doc
- 图像数据操作(内存分配与释放,图像复制、设定和转换) 图像/视频的输入输出(支持文件或摄像头的输入,图像/视频文件的输出) 矩阵/向量数据操作及线性代数运算(矩阵乘积、矩阵方程求解、特征值、奇异值分解) 支持多种动态数据结构(链表、队列、数据集、树、图) 基本图像处理(去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构) 结构分析(连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化)
Color_Detect
- 用Matlab GUI 开发的一个工具,主要用具实时视频图像的RGB检测。-RGB Color Detection in Images Real Time Video
opencv1
- 基于opencv开源图像处理库在vs环境下c++开发的图像视频处理实例运动物体检测识别-Opencv source image processing library in c++ development environment vc image processing example video motion detection and identification of objects based on
blob_tracker
- 基于视频的Visual c++的车辆检测与跟踪-Vehicle detection and tracking based on video C Visual
PlatformCtrlPro
- 影像增强;视频目标检测,识别,跟踪;转台控制(网络(海康)/串口)-Image enhancement video object detection, identification, tracking turret control (network (Kang)/Serial)
ImageSegmenation
- 通过视频的关键帧检测船体,数字图像处理的pro-Video key frame detection hull
ikldemo
- visualc++和opencv实现。点跟踪。改进的Lucas-Kanade光流算法,检测视频运动目标。鼠标点击目标点,视频跟踪。-Point tracking. Improved Lucas-Kanade optical flow algorithm, video motion detection target. Click on the target point, video tracking.
backsubtraction
- 视频跟踪系统中,应用背景差分法进行动目标检测的算法,整理成word文档形式。-Video tracking system, background subtraction method of moving target detection algorithms, organized into word document form.
vibe
- 背景检测算法方面的只是,vibe代码,自己测试过可以使用,里面还有测试视频。-The only background detection algorithm, vibe code, tested can be used, there is also a test video.
matlab-vibe
- 在matlab环境下对ViBe算法的演示,能够实现对视频序列的检测处理并实时显示-In the environment of MATLAB ViBe algorithm demo, can realize the detection and processing of the video sequence and real-time display
face-detect
- 基于视频图像的人脸检测与跟踪方法研究,适合图像处理方向学习使用-Research on human face detection and tracking based on video image
People-status-analysis
- 视频监控中人群状态分析及异常事件检测方法研究-Analysis and abnormal event detection method crowd video surveillance state
Background-difference-method
- 背景差分法是采用图像序列中的当前帧和背景参考模型比较来检测运动物体的一种方法,其性能依赖于所使用的背景建模技术。背景差分法检测运动目标速度快,检测准确,易于实现,其关键是背景图像的获取。在实际应用中,静止背景是不易直接获得的,同时,由于背景图像的动态变化,需要通过视频序列的帧间信息来估计和恢复背景,即背景重建,所以要选择性的更新背景。-Background difference method is the use of images in the sequence of the current
RGBVibe.tar
- ViBe前景检测算法,不对视频帧进行灰度变换,直接基于RGB的图像处理-ViBe foreground detection algorithm, not video frames gray transformation, directly based on the RGB image processing
FaceDetection_OpenCV
- OpenCV实现视频读写与人脸检测,重点实现了人脸识别与检测-OpenCV, Video Write,Face detection
LAB2
- 关键帧的边缘检测:1.读取一个AVI视频 2.逐帧差分求取关键帧3.对关键帧使用sober算子检测边缘-Edge detection keyframe: 1. Read a AVI video 2. Frame Differential strike keyframes 3. Use keyframes sober operator edge detection
people
- 一种人群异常行为检测系统的设计与实现。跟军视频采集的图像进行分析-The Design and Implementation of a crowd of abnormal behavior detection system. Army video capture with image analysis