物体检测的步骤是什么？
我是图像处理新手，我想做一个物体检测项目。因此，请帮助我建议该项目的分步过程。谢谢。
I'm new to image processing and I want to do a project in object detection. So help me by suggesting a step-by-step procedure to this project. Thanx.
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对象检测是一个非常复杂的问题，包括一些真正的核心数学和对所涉及的计算方法的参数的长期调整。你最好的选择是使用一些免费的库 - 谷歌会提供帮助。
Object detection is a very complex problem that includes some real hardcore math and long tuning of parameters to the computation methods involved. Your best bet is to use some freely available library for that - Google will help.
关于该主题的算法有很多，但没有一种算法是最好的。通常将它们混合起来才能形成最佳解决方案。
例如，对于物体运动检测，您可以查看帧差分和高斯分布。
此外，它很大程度上取决于您的应用程序、环境（即噪声、信号质量）、您可能拥有的处理能力、允许的误差范围……
此外，为了让它工作，大多数时候首先需要做一些事情对输入数据进行图像处理，如中值滤波器、索贝尔滤波器、对比度增强等等。
我认为你应该开始阅读所有你能读的书：书籍、谷歌，而且非常重要的是，很多关于你感兴趣的主题的论文（互联网上有很多免费的）。
首先，我认为这是基础（至少对我来说）有一个很好的测试库。我用过/正在使用的是 OpenCV。它非常完整，实现了许多实际的更先进的算法，非常活跃，有一个很大的社区，而且是免费的。
开放计算机视觉库 (OpenCV)
祝你好运;)
There are lot of algorithms about the theme and no one is the best of all. It's usually a mixture of them what makes the best solution to the solution.
For example, for object movement detection you could look at frame differencing and misture of gaussians.
Also, it's very dependent of your application, the environment (i.e. noise, signal quality), the processing capacity you may have available, the allowable error margin...
Besides, for it to work, most of time it's first necessary to do some kind of image processing to the input data like median filter, sobel filter, contrast enhancement and a large so on.
I think you should start reading all you can: books, google and, very important, a lot of papers about the subjects (there are many free in internet) you are interested in.
And first of all, i think it's fundamental (at least it has been for me) having a good library for testing. The one i have used/use is OpenCV. It's very complete, implement many of the actual more advanced algorithms, is very active, has a big community and it's free.
Open Computer Vision Library (OpenCV)
Have luck ;)
看看AForge.NET。它的准确性或实用性远不及 Project Natal 水平，但它确实为您提供了学习工具算法很容易。它是一个图像处理和人工智能库，有一些关于彩色对象跟踪和运动检测。
另一个值得关注的是来自 Intel 的 OpenCV。我相信它更先进一点，但它是用 C 编写的。
Take a look at AForge.NET. It's nowhere near Project Natal's levels of accuracy or usefulness, but it does give you the tools to learn the algorithms easily. It's an image processing and AI library and there are several tutorials on colored object tracking and motion detection.
Another one to look at is OpenCV from Intel. I believe it's a bit more advanced, but it's written in C.
看看这个。它可能会帮助您开始进入这个复杂的领域。它链接到的算法页面读起来很有趣。
http://sun-valley.stanford.edu/projects/helicopters/final。 html
Take a look at this. It might get you started in this complex field. The algorithm pages that it links to are interesting reading.
http://sun-valley.stanford.edu/projects/helicopters/final.html
Jeff Hawkins 的本次讲座将为您提供一个想法关于这个超级困难领域的最新技术。
该视频似乎消失了...但此视频应该涵盖类似的内容。
This lecture by Jeff Hawkins, will give you an idea about the state of the art in this super-difficult field.
Seems that video disappeared... but this vid should cover similar ground.