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ImageFeatureTrack[{image1,image2,…,imagen}]

跟踪图像从 image1 到 imagen 的特征.

ImageFeatureTrack[video]

tracks features in frames of video.

ImageFeatureTrack[input,pts]

tracks features starting from the initial set of points pts in the first image or video frame.

更多信息和选项
Details and Options Details and Options
范例  
基本范例  
范围  
选项  
Masking  
MaxFeatures  
应用  
互动范例  
巧妙范例  
参见
相关指南
历史
按以下格式引用：

ImageFeatureTrack

ImageFeatureTrack[{image1,image2,…,imagen}]

跟踪图像从 image1 到 imagen 的特征.

ImageFeatureTrack[video]

tracks features in frames of video.

ImageFeatureTrack[input,pts]

tracks features starting from the initial set of points pts in the first image or video frame.

更多信息和选项

  • ImageFeatureTrack, also known as feature tracking, tracks feature points over time.
  • ImageFeatureTrack works with a Video object, an AnimatedImage object or a sequence of images.
  • ImageFeatureTrack[input] automatically determines a set of feature points in the first image or first video frame to track.
  • When tracking points in an image sequence or an AnimatedImage, a list {pts1,pts2,…,ptsn} is returned, where ptsi is the position of the features in imagei.
  • Coordinates {x,y} are assumed to be in the standard image coordinate system.
  • 如果在某些图像或视频帧中无法找到点，所有后续帧坐标返回 Missing[].
  • 可以指定下列选项：
  • Masking All感兴趣的区域
    MaxFeatureDisplacement15相邻图像对应点之间的最大距离
    MaxFeatures 100跟踪点的最大数目
    MaxIterations20最大迭代次数
    Tolerance0.03匹配点的容差
  • 设置 MaxFeatureDisplacement->{r1,r2} 下，可以指定竖直和水平方向范围不同的搜索窗口.
  • 设置 Masking->roi 下，点集被限制，以满足 image1 所返回的点 pts1 都落在感兴趣的区域 roi 内.
  • 后续图像之间的跟踪根据迭代算法计算. 设置 MaxIterations->n 和 Tolerance->tol 下，算法在迭代替换少于 tol 或者迭代次数超过 n 时，算法终止.

范例

打开所有单元 关闭所有单元

基本范例  (1)

跟踪从一个图像到另一个的指定点：

范围  (4)

自动找到要跟踪的初始点集：

可视化被跟踪的点：

Automatically track points in a video:

Track specified points in a video:

选项  (2)

Masking  (1)

仅仅跟踪指定遮罩中的点：

MaxFeatures  (1)

By default, all tracked points of interest are returned:

指定需要跟踪的最大点数：

应用  (3)

显示两个图像中的点的光流：

跟踪图像之间的图像拐角：

Track a point on the face of a woman dancing on the stage, to analyze the dance:

The number of taps the performer makes can be computed from the coordinate of the tracked point:

Find the peaks:

Find the number of jumps/taps frequency from the number of peaks:

互动范例  (1)

跟踪一系列图像中的点：

绘制每个跟踪特征的运动路线：

巧妙范例  (1)

跟踪粒子：

Wolfram Research (2012)，ImageFeatureTrack，Wolfram 语言函数，https://reference.wolfram.com/language/ref/ImageFeatureTrack.html （更新于 2025 年）.

文本

Wolfram Research (2012)，ImageFeatureTrack，Wolfram 语言函数，https://reference.wolfram.com/language/ref/ImageFeatureTrack.html （更新于 2025 年）.

CMS

Wolfram 语言. 2012. "ImageFeatureTrack." Wolfram 语言与系统参考资料中心. Wolfram Research. 最新版本 2025. https://reference.wolfram.com/language/ref/ImageFeatureTrack.html.

APA

Wolfram 语言. (2012). ImageFeatureTrack. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/ref/ImageFeatureTrack.html 年

BibTeX

@misc{reference.wolfram_2025_imagefeaturetrack, author="Wolfram Research", title="{ImageFeatureTrack}", year="2025", howpublished="\url{https://reference.wolfram.com/language/ref/ImageFeatureTrack.html}", note=[Accessed: 18-September-2025]}

BibLaTeX

@online{reference.wolfram_2025_imagefeaturetrack, organization={Wolfram Research}, title={ImageFeatureTrack}, year={2025}, url={https://reference.wolfram.com/language/ref/ImageFeatureTrack.html}, note=[Accessed: 18-September-2025]}