我想在视频中跟踪一个对象。 所以我想在 Opencv 和 C++ 中使用“ 坚固的” Gausian Mixture 模型
抱歉没有直接回答问题,但:
阅读研究论文是一件伟大的事情, 但坦率地说, 通过尝试你自己对具体数据的想法, 并更好地了解问题, 你会得到更多的知识。
如果您知道形状, 使用通用的 Hough 变换或匹配的过滤器来估计位置, 加上 Kalman 过滤器来跟踪这些形状, 比较容易执行 。 或者您可以找到现有的执行 。
另外,如果你不是一个很好的 C++ 程序程序员,我就先在 Matlab 或 Octave 或 C++ 中 建立你的想法原型,而不是 C++,因为当你真正想要关注的问题本身时,你会在 C++ 中浪费你大部分的时间。
正如我在评论中所说,我暂不使用GMM系统,直到你更好地了解问题以及如何使用。 (当然,除非你已经很好地知道如何使用它。 )
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