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Tracking
- 使用卡尔曼滤波器设计的运动物体跟踪。适用于背景也是动态变化的物体跟踪-Tracking moving objects using a Kalman filter design. Applies to the background also dynamic object tracking
opencv
- opencv 图像跟踪 用质心跟踪运动物体 并可手动标记运动物体-opencv C++ Tracking moving objects with a mass center moving objects can be manually tagged
cPP
- c++编写的对于运动物体的检查与跟踪程序,可实现图像学中的腐蚀膨胀等算法-c++ written program for checking and tracking of moving objects, image-based principles
JPDA
- 在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是(4000,1200)(300,1500)速度分别是(200,200)(400,200)传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1,正确量测落入跟踪内的概率为0.99,杂波均匀分布的密度为2个/km2由RAND函数产生在[0,1]上均匀分布的随机变量,跟踪门限为9.21。 -Superimposed noise in the posit
opencv_vc6_ver1.0
- 基于OPEN CV的运动检测与跟踪的毕业设计,已调试通过-OPEN CV-based motion detection and tracking graduation design, debugging through
IMM-Kalman-filter--simulation
- 结合雷达跟踪的空中目标的实际情况,针对目标运动模型中的线性运动和非线性运动,分别设计了两种模型,并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。-Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state
kalman
- 描述了在跟踪物体运动的卡尔曼程序。以及绘制出图像-matlab kalman
GZ
- 用于基于视频运动目标的跟踪,该算法融合了颜色直方图和梯度方向直方图的特征,能够更加精确地表征目标,较大地提高了视频目标跟踪的准确度和鲁棒性。-For video motion-based target tracking, the algorithm combines the color histogram and gradient direction histogram feature, to more accurately characterize the target, greatly im
blobtrack
- 团块视频运动物体跟踪,基础源代码,改进其算法,可在原有算法基础上添加-Clumps video moving object tracking, the underlying source code, to improve the algorithm can be added on the basis of the original algorithm
IMM
- 使用IMM(交互式多模型)跟踪平面内匀速直线运动和协调转弯组合的机动目标-tracking CV and CT target by using IMM model
opencv
- 本系统主要实现视频中运动目标的跟踪,通过VC++开发工具构建一个目标跟踪软件系统。给定一段视频,使用OpenCV视觉库和Camshift算法来检测视频中运动的目标,借助计算机强大的计算能力和视频处理技术的结合,实现对视频场景中目标进行检测、识别、跟踪。-failed to translate
add-myblobtrack
- opencv实现运动物体跟踪,如果opencv提供的模块不够,则需要亲自动手写一个自己的模块。-use opencv to track the target,if there no enough block,than we need add my own block.
moving-tracking
- 运动目标的检测提取以及跟踪,逐级帧差法检测,相似度函数跟踪。-Moving target detection and track extraction, sequential frame difference detection, similarity function tracking.
video-motion-detection
- 一段视频中运动目标检测跟踪以及画出轨迹设计-Video motion detection
mainkaerman
- 卡尔曼滤波运用在机动目标跟踪中的源程序,目标在二维平面的运动-Kalman filter used in the source maneuvering target tracking
kf
- 设计过程噪声时变强跟踪自适应滤波器,估计汽车运动的瞬时速度v(t)和行走距离s(t)-Design process noise becomes strong tracking adaptive filter estimates the instantaneous speed of motor sport v (t) and walking distance s (t)
OpenCVOpticalCalculate
- 利用OpenCV计算光流的程序,根据视频,计算并跟踪运动目标-Optical flow is calculated using OpenCV procedure, the video, calculate and track moving targets
human-detection
- 检测人体运动,对运动人体进行跟踪,具有不错的效果-Detect human movement, human movement tracking, with good results
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
Untitled3
- 使用离散卡尔曼滤波的边际安全的轨迹预测。提出了一个结合三种不同类型的传感器系统,准确地跟踪一个人的运动轨迹,并预测非法路径,能有效拦截非法入侵企图。-The use of discrete Calman filtering of marginal safety trajectory prediction. Proposes a combination of three different types of sensor system, accurately track the trajector