问题:Kohonen用于视频处理 [英] Question: Kohonen for Video Processing

问题描述

您好，我目前正在使用AI技术完成关于障碍物检测的最后一个项目，并且想知道Kohonen SOM是否有可能.我在Kohonen上的网络上已经阅读了很多东西，除了聚类和减少图像矢量之外，没有发现任何与视频处理相关的信息.我相信这是可能的，但仍然没有找到任何有用的资源，这有点困扰我.如果有人可以分享一些有用的链接，将不胜感激. :(

Hi, I am currently doing my final year project on Obstacle Detection using an AI technique, and was wondering if it is possible to do with Kohonen SOM. I have been reading a lot on the web on Kohonen and find nothing relating it to video processing, other than clustering and reducing the image vectors?. I believe that it is possible but still have not find any useful sources, which kinda bugs me. If anyone can share some useful links on it would be really grateful. :(

推荐答案

Kohonen SOM就像它的名字一样.自组织的地图(例如簇)减少了矢量.您可以使用它们来进行视频处理流...如果要在流中聚类/减少向量，如果尝试使用SOM识别障碍物或发现边缘或看到人脸，则说明您使用的是完全错误的算法. SOM无法单独执行此操作.

Kohonen SOMs are, like the name suggests. A map that self organises, eg, clusters, reduces vectors. You CAN use them to do processing of video streams...if there''s something in the stream you want to cluster/reduce vectors of. If your trying to use a SOM to recognize obstacles or find edges or see a face then you''re using entirely wrong algorithm. A SOM can''t do this by itself.

希望 Kohonen的C ++中的自组织地图及其在计算机视觉领域的应用 [ ^ ]可能会为您提供帮助.

Hope Kohonen''s Self Organizing Maps in C++ with Application in Computer Vision Area[^] may help you.

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