搜索资源列表
bkgrd
- 利用背景建模检测运动物体。逐帧读取视频，根据帧差法来实现。-The use of background modeling moving object detection. Read video frame by frame, in accordance with the frame difference method to achieve.
detection-match
- 用visual c++开发的利用中心匹配算法实现的运动物体检测系统-Using visual c++ Development centers and use the matching algorithm to achieve the moving object detection system
py
- 本程序用于提取背景检测运动物体，并对物体进行跟踪，数据来源可以是视频文件或者摄像头。-This procedure used to extract the context of moving object detection and tracking objects, data sources can be a camera or video files.
parts_structure_demo
- Pictorial structure model for object detection.
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.
3D_Object_Detection
- A Statistical Method for 3D Object Detection Applied to Faces and Cars.
pornfilter
- porn filter based opencv object detection
meanshift
- 利用meanshift在ＭＡＴＬＡＢ中实现目标检测和跟踪-implement object detection and track on matlab by meanshift
BackgroundSubtractionLibrary
- 基于混合高斯模型的背景消除 利用混合高斯背景建模进行运动物体检测, 同时引入共轭先验以改进权值更新方程-Gaussian mixture model based on the background to eliminate the use of Gaussian mixture background modeling for moving object detection, while the introduction of conjugate a priori weights to imp
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
AnEfficientMovingObjectDetection
- An Efficient Moving Object Detection and Descr iption
MVOODS_resource
- 今年带的毕业设计，基于opencv的运动物体检测，做的还不错-Graduates this year with the design, based on the moving object detection opencv, do good
Rapid_Object_Detection
- A very fast and robust object detection framework. A very simple set of Haar like box features A commensurating Image representation (that enables fast calculation of features, feature scaling and normalization) Efficient feature selectio
Hough
- 利用Hough变换实现半径未知的圆形物体的检测-Use Hough transform to achieve a circular radius of an unknown object detection
UML-modeling-based-on-object-oriented
- 《UML面向对象建模基础》-徐锋 总共16个ppt，包括： UML世界的构成.PPT UML概述.PPT UML模型管理.PPT 交互图.PPT 交互概述图.PPT 包图.PPT 对象图.PPT 数据库建模基础与实例.PPT 构件图.PPT 活动图.PPT 状态图.PPT 用例图.PPT 类图.PPT 设计建模基础与实例.PPT 部署图.PPT 需求建模基础与实例.PPT -" UML modeling based
liyongbeijingjianmojianceyundongwuti
- opencv 利用背景建模检测运动物体-opencv using background modeling moving object detection
backmodel
- EM-GMM建立背景模型，用于运动物体检测，侵入检测等-EM-GMM background model set up for moving object detection, intrusion detection, etc.
vision
- 完整的运动物体检测与跟踪算法。OPENCV实现-Integrity of the moving object detection and tracking algorithm. OPENCV to achieve
sift
- 用于图像精确匹配以及目标检测的SIFT算法-Sift algorithm matlab version for object detection and image match