搜索资源列表
shotdetection(matlab)
- 视频分割的matlab 程序,是用matlab开发的一个视频分割程序-Matlab video segmentation procedures are developed using matlab a video segmentation process
Motion_Detection_Threads
- 在视频服务器中,一个重要的功能是实现移动侦测和录像功能。本源码中实现了多线程、多路视频的视频移动侦测。-In Digital Video Recording [DVR] System, one most important feature is the Video Motion Detection. Most DVR is consisted by multi video capture cards. The card number sometime will be up to 16. In o
Susan
- 主要实现视频文件中对每帧图像susan角点检测,程序比较清晰易读-The main achievement of the video file for each frame image susan corner detection, procedures legible
Learning_OpenCV
- 這是一本電子書,介紹openCV的功能,有了他就可以輕鬆的處理影像視訊,並具備許多統計及機器學習的function。可以輕鬆的做到人臉偵測的功能-This is an e-book, Introduction openCV function, with relaxed he can deal with video images, and have lot of statistics and machine learning function. Relaxed people can do face
Image_Processing_Practise
- 这是《精通Visual C++数字图像处理技术与工程案例》光盘源代码,共包含9个完整用例(含源代码、完整设计流程图、原理介绍):人脸检测、牌照自动识别监控、运动人体跟踪、细胞识别统计、文字识别、相机自动调焦、计算机集成数控、运动检测、车牌定位。书中含图像和视频资源,不需自行搜集。此外还有对于数字图像处理基础知识、工程使用中涉及的基本技术的介绍。-This is《proficient in Visual C++ digital image processing technology and eng
ImageProcessing
- Hough变换,边缘检测,差影法,轮廓提取与跟踪,模板匹配,投影法,图像复原,阈值分割和种子填充的源码。-Hough transform, edge detection, bad video method, contour extraction and tracking, template matching, projection method, image recovery, threshold segmentation of the source and seed filling.
OpenCV_FirstDemo
- OpenCV的初学练习,包含简单的图像处理,边缘检测、视频处理等等,可作为初学者的入门练习参考。-OpenCV of beginner exercises, including simple image processing, edge detection, video processing and so on, can be used as reference for beginners to practice entry.
third
- 视频序列的运动检测:用帧差法实现了单个物体的运动检测。-Video sequence of motion detection: bad law with frames achieve a single object detection exercise.
shot-detecting
- 多种基于内容的视频检索镜头分割算法matlab程序,主要是检测突变,有基于直方图的方法,基于X2直方图的方法,基于像素的方法以及基于边缘轮廓法对比!对于这一领域的研究具有很好的入门作用!也是本人毕业论文所写的!视频文件建议先分离掉声音,仅保留图像系列,文件须为mpg!-A variety of content-based video retrieval lens matlab segmentation procedures, the major mutations are detected, t
Tracking_and_Object_Classification_for_Automated_S
- O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》. 这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”,把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" .
Direct
- 图像分析包括阈值分割,差影检测,模板匹配,投影检测等-Image analysis including the threshold segmentation, bad video detection, template matching, projection, etc. Detected
facedetect_harrcascade
- 基于adaboost的构造的cascade用于快速检测人脸,能够实时检测视频中的人脸。没有采用opencv的代码。-Adaboost based on the structure of the cascade for the rapid detection of human faces, real-time video can face. Did not use the code opencv.
motiondetect
- opencv寻找轮廓实现视频流的运动目标检测-opencv contour search video streaming implementation of the moving target detection
background_gen_c
- 通过读取视频流,基于OpenCV建立背景模型,以用于前景检测-By reading the video stream, based on the OpenCV ,generate background model for the foreground pixels detection
face_detect
- 视频目标跟踪中的人脸检测,包括文章加程序-Video target tracking in the face detection, including procedures for the article plus
2004
- 简单介绍基于实时视频图像中人脸跟踪与检测-A brief video-based real-time human face tracking and detection
MovingObjectDetection
- 运 动 对 象检测在面向对象的视频编码、基于内容的检索、安全监控等领域 都有重要用途,特别是在安全监控应用中,运动对象检测是基于视频的安全监 控异常报警任务的关键算法。由于实际监控背景一般比较复杂,例如背景中的 树枝叶晃动、场景照明亮度的变化等都会对运动对象检测造成影响,因此复杂 场景下的运动对象检测不是一项简单的任务。另外,当摄像机运动时,由于图 像背景是不断变化的,进一步增加了运动对象检测的复杂性。-Detection of moving objects in objec
03
- 真实场景下视频运动目标自动提取方法.主要的研究内容包括运动物体检测,分类和跟踪,研究成果可以广泛地应用在交通管理系统,视频监视系统和军事目标跟踪系统,同时还可以应用在基于内容的视频数据压缩编码中。-Real video scenes under the automatic extraction method of moving targets. The main content includes moving object detection, classification and tracki
HoGnew
- 基于数字视频处理的图像中的行人检测代码里面十分重要的梯度直方图提取技术的代码.-Digital video processing based on images of the importance of pedestrian detection code inside the gradient histogram extraction code.
20090429
- 为了提取区域边界,可以对图像直接运用一阶微商算子或二阶微商算子,然后根据各像点处的微商幅值或其他附加条件判定其是否为边界点。如果图像中含有较强噪声,直接进行微商运算将会出现许多虚假边界点。-.Using the feature of distinct edge contour existing between the text and the background regions in color images, a novel text extraction algorithm—CEMA(Co