最喜欢的手势识别技术
目前正在进行大量关于手势识别的研究。 我想我可以将范围缩小到手势识别主题（即静止的手部位置，直至与手语识别一样复杂和动态）。
考虑到实时可用的图像处理技术，例如斑点检测、边缘检测、兴趣点跟踪等。再加上隐马尔可夫模型和其他比较人工智能，您将使用哪些技术/算法来进行实时运动跟踪和手势识别？
There is a lot of research going on about gesture recognition. I figured I would narrow this down to the topic of hand gesture recognition (i.e. stationary hand positions, up to as complex and dynamic as sign language recognition).
Considering the image processing techniques available in real-time, such as blob detection, edge detection, point of interest tracking, etc. Coupled with Hidden Markov Models and other comparison AI, what techniques/algorithms would you use to do real-time motion tracking and gesture recognition?
如果你对这篇内容有疑问，欢迎到本站社区发帖提问 参与讨论，获取更多帮助，或者扫码二维码加入 Web 技术交流群。
绑定邮箱获取回复消息
由于您还没有绑定你的真实邮箱，如果其他用户或者作者回复了您的评论，将不能在第一时间通知您！
发布评论
评论（3）
我记得我以前的同事也研究过类似的问题。 他们发表了关于该主题的会议论文：便携式手势界面框架。 希望这可以帮助。
I remember previous colleagues of mine have worked on a similar problem. They have published a conference paper on this topic: Framework for a portable gesture interface. Hope this helps.
我认为为了准确，你必须结合所有这些技术。
我用wii-mote做了这样的事情，它识别手部移动但不识别手势。
我们使用隐马尔可夫模型并且实时取得了成功。
也许这不是真正的答案，但不尝试就无法知道。
I think for being accurate you have to combine all these techniques.
I did such a thing with wii-mote, it recognizes the hand move but not gesture.
We used hidden markov model and it was successful in real time.
Maybe it is not a real answer but you cant know without trying.
好吧，我认为你可以使用主动形状模型或主动外观模型，我记得看过一些关于它的论文
well i think you can use active shape models or active appearence models i remember seeing some papers about it