搜索资源列表
codebook
- cedebook背景建模方法的背景差分方法检测运动目标！-cedebook background modeling method for background subtraction method for detecting moving targets!
Target-trace
- 利用Opencv对运动目标（包括汽车，行人）的AVI视频进行检测并跟踪。效果十分显著。 - detect and tracking the moving targets (including cars, pedestrians) AVI video detection and tracking. Effect is very significant.
target-detection-and-tracking
- 序列图像中运动小目标检测跟踪，实用性很强，张天序教授的硕士生撰写的学位论文-Image sequences small moving target detection and tracking, very practical, Professor Zhang Tianxu of graduate students writing dissertations
Lab534-VideoMotionDetect
- 在DM642上，利用RF5框架对运动目标进行检测-On DM642, the use of RF5 framework for moving target detection
contour
- 在vc6.0中实现实现角点检测.角点检测对运动目标的跟踪很有用.-In vc6.0 corner detection is implemented to achieve. Corner detection to track the moving target is useful.
gougou23201016
- 实现对运动物体进行实时的检测，并且可实现运动目标物体与原始模板之间的匹配-To achieve real-time detection of moving objects, and can realize the moving target object and the match between the original template
aboat-pyramidFlow
- 关于光流法的运动图像目标检测 已调试成功-About optical flow moving image target detection has been successfully debug
class_optical_flow
- 一个经典的关于光流法的运动图像目标检测 已调试成功-Moving image target detection of optical flow method is a classic has been successful commissioning
ThreeZhen
- 基于Opencv方法做的一个先利用三帧差分法检测视频中运动目标！，再利用adaboost算法检测人脸！能运行效果有待改进！-Opencv based method to do a first use of three difference method to detect moving objects in video! , Re-use adaboost algorithm to detect human face! The effect can be improved to run!
Visual-saliency--tracking
- 针对突变运动下的目标跟踪问题，提出一种基于视觉显著性的粒子滤波跟踪算法． 该算 法将基于视觉注意机制的视觉显著图引入粒子滤波框架中，根据视觉显著图的显著性区域，按 胜者为王和返回抑制机制进行目标检测-Aimingat solvingthetrackingproblemsunder thecircumstancesof abrupt motion，aparticlefilter trackerisproposedbasedonvisual saliencymodel． Thistracke
motiondetector
- 这个是在linux下开发的gstreamer插件，实现了多运动目标的检测功能，效果很不错-This is developed under linux gstreamer plugins to achieve a multi moving target detection, the effect is very good
ImageProcessing
- 图像特征检测与运动目标分割算法的研究,图像分割与目标特边界提取-image features detection and motion object segmentation algorithm
track
- 基于opencv的运动目标轮廓检测，用MFC编写的界面，实现视频在对话框指定位置的显示，有详细注释，适合初学者。-Moving target based on the contour detection opencv prepared with MFC interface, video display dialog box to specify the location, detailed notes for beginners.
HopkinsMultiviewMultibodyCode
- 这个算法包实现了多视角下多运动目标的检测和分割算法，主要有三种算法： GPCA 谱聚类法，RANSAC, 局部子空间仿射变幻法。- This package contains the code for the following multiview-multibody motion segmentation algorithms: - GPCA with spectral clustering - RANSAC - Local Subspace Affini
guassian
- 混合高斯背景模型，背景差法，检测运动目标，环境VC2008，Opencv，前景与背景分开显示-Gaussian mixture background model background subtraction method to detect moving targets
s2
- 使用python语言， 通过opencv可以实现运动目标跟踪与 阴影检测-python opencv shadow
MovingDetect
- Matlab的运动目标分割 车辆检测 平均建模背景差分-Matlab moving object segmentation of vehicle detection modeling background difference on average
abc
- 基于混合高斯模型背景建模法来检测运动目标-Gaussian mixture model-based background modeling method to detect moving targets
gmm
- 混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙
synthetic-range-profile
- 分析运动目标的合成距离像，对实现明白的跟踪检测很有意义。-Synthetic moving target like distance analysis, understand the tracking and detection of achieving meaningful.