Struck跟踪算法（一）

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Struck跟踪算法：Structed Output Tracking with Kernels (ICCV /2011年)

原理： Adaptive tracking-by-detection methods

最近做项目，需要借鉴一下这个算法，于是就打算好好学习这个算法。

算法下载地址：http://download.csdn.net/detail/sunboyiris/7681943

首先介绍一下如何调通这个算法，首先要引入两个库：Eigen库和OpenCV库

Eigen库配置：

Eigen库下载地址：http://eigen.tuxfamily.org/index.php?title=Main_Page#Download

解压后对VS操作如下：

然后调用其库函数就OK了。

OpenCV库配置：

见前面文章

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要看struct跟踪算法的效果，首先要看的是config.txt文件

# quiet mode disables all visual output (for experiments).quietMode = 0# debug mode enables additional drawing and visualization.debugMode = 1# base path for video sequences.sequenceBasePath = sequences   //路径# path for output results file.# comment this out to disable output.#resultsPath = log.txt# video sequence to run the tracker on.# comment this out to use webcam.#sequenceName = girlsequenceName = girl  //调用算法提供的图像序列# frame size for use during tracking.# the input image will be scaled to this size.frameWidth = 320frameHeight = 240# seed for random number generator.seed = 0# tracker search radius in pixels.searchRadius = 30# SVM regularization parameter.svmC = 100.0   # SVM budget size (0 = no budget).svmBudgetSize = 100# image features to use.# format is: feature kernel [kernel-params]# where:#   feature = haar/raw/histogram#   kernel = gaussian/linear/intersection/chi2#   for kernel=gaussian, kernel-params is sigma# multiple features can be specified and will be combinedfeature = haar gaussian 0.2  //haar gaussian系数设置#feature = raw gaussian 0.1#feature = histogram intersection

在此就配置好了参数，看一下运行效果：

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