哈哈哈，今天本来要发个帖子call你的，没想到你自己开了一个帖子 代码已经可以下载了，不知道谁试过了没有 视频追踪算法-来自捷克博士论文 http://news.csdn.net/a/20110415/295938.html Free Version（免费源码可从Github下载） TLD can be downloaded for testing in a chosen application. We provide a precompiled demo (Windows) and a source code that is released under GPL version 3.0. In short, it means that any distributed project that includes or links any portion of TLD source code has to be released with the source code under the GPL version 3.0 license or later. Commercial Version A license has to be purchased for using TLD in a commercial project. The licencing is managed by the IP owner, the University of Surrey and the fee is subject to negotiation. Please contact the University of Surrey for further information. More Information * ● High-level description of TLD * ● Components of TLD * ● Learning component of TLD * ● Application of TLD tracker to faces * ● Detailed description is in the following papers: ICCV'09 (w), CVPR'10, ICIP'10, ICPR'10 * ● Many technical questions (e.g. installation) are being discussed in the following discussion group.
不过我跟我一个搞图像的博士朋友讨论了这个问题，他给我泼了盆冷水，说这个是Demo，实际效果不会这么好 我也很纳闷，他不通过学习，怎么划一个框就可以识别，并且把识别跟学习过程合在一起了（比如那个三只手指的Demo，它一边在识别，一边在学习？还有那个熊猫的Demo，熊猫已经扭头转过去了，图形形象完全不一样了，还能够识别到？）
对，我也觉得我那朋友太古板了。人设计的东西只能在几个矛盾之间平衡，而圣杯是颠覆性的，可以突破几个矛盾达到一个新的水平。 在2.4G cpu下小分辨率实现Real time（我看视频fps大概17左右？）确实是一个很了不起的事情。不知道有没有用汇编优化核心代码，我估计没有。