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shadow3
- 提出了一种室内静止摄像机条件下的运动目标检测和阴影抑制方法。该方法采用一种自适应的背景估计方法来实时更新 背景,用基于概率分类法检测运动目标,并在联合HMMD色彩空间和光度特征来抑制阴影之后,用Sobel边缘检测来修正运动目 标。实验结果表明,该方法能够有效地检测运动目标和抑制阴影。 -An indoor stationary camera under the conditions of moving target detection and shadow suppression m
opticalflow
- 利用光流场设计一个运动目标检测算法,使用opencv实现-The use of optical flow field design of a moving target detection algorithm, the realization of the use of opencv
MotionDetect
- 该程序通过寻找轮廓从而实现视频流的运动目标检测-To find the outline of the video stream to achieve the moving target detection
VideoTrack
- 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AVI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 under the debugger in vc6.0 is passed, the test must be a non-compressed video of AVI video content including the video movi
MatlabImageSequenceOfMovingTargetDetectionAndTrack
- Matlab图像序列中的运动目标检测与跟踪 关于序列图像的动态目标跟踪-Matlab image sequence of moving target detection and tracking on image sequences of dynamic target tracking
MovingTargetDetect
- 研究生机器视觉课程的大作业 运动目标检测 -moving target detect
GMM_RGB
- 基于混合高斯的运动目标检测的跟踪!修改后可以使用。-Gaussian mixture-based tracking of moving target detection! Modifications can be used.
IGMM
- 基于混合高斯的运动目标检测程序已经相应的文章!非常值得借鉴!-Gaussian mixture-based moving object detection procedures have been the appropriate article! Well worth learning!
pcnn
- 脉冲耦合神经网络与高斯模型结合的运动目标检测-pcnn
detect
- 利用c编写的运动目标检测,简单易懂,而且可以运行-C prepared by the use of moving target detection, simple and easy to understand, and can run
ObjectMotion
- 关于运动目标检测的算法研究文献和英文概述-With regard to moving target detection algorithm for an overview of research literature and English
3971019SEED106_GrayStretch
- 运动目标检测与跟踪算法,可以实现目标的自动检测与跟踪-Moving target detection and tracking algorithm that can achieve its objectives of automatic detection and tracking
OpenCV_forward_backwrd_MHI
- Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法,本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。 本程序基于OpenCV。-Forwar
motiondetect
- 实现基于混合高斯模型的运动目标检测算法的仿真-Achieved based on Gaussian mixture model simulation of moving target detection algorithm
VideoDemo
- 视频图像运动目标检测,可导入一段视频,对视频中的运动目标图像进行分析。-Video image moving target detection, can import a video, the video of the moving target image analysis.
MOTION
- 帧差法运动目标检测,运动目标检测是计算机视觉的一个研究热点,在视频监控,军事侦察等领域有着广泛的应用前景。在这些应用中,大家比较关注运动着的物体,因此,对运动目标进行检测的意义显得格外重要。本文以视频序列作为研究对象,在现有研究成果的基础上提出一种算法,并在VC上实现-DIFF-FRAME DECTECTION
opencvexample
- 基于自适应背景更新的运动目标检测,采用vc++语言描述- moving target detectionBased on adaptive background update
MotionDetection
- 静止背景下运动目标检测,采用帧间差分的方法进行运动目标识别-Static background motion detection, frame difference methods using Moving Object Recognition
demo
- 实现了运动目标检测,图像的移动,放大,缩小,阈值变化等图像处理功能-The movement object detection, image movement, zoom, change the threshold image processing functions
backgroundmodeling
- 运动目标检测,背景建模,高斯背景建模,对初学者很有帮助-Moving target detection, background modeling, Gaussian background modeling, very helpful for beginners