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Have you worked with motion tracking while object consists of high nonlinear transformation and identity? The kernel method will fail if the image is multi-model instead of having global optimal. Do you have other solution?
I have seen three of your demostrations. However, it is not exactly the situation I am talking about. If you can take a look at my video samples. I think you may get my point. In my opinion, similarity based tracking algorithm will fail in this case. Maybe we can discuss about this problem sometime?
Looks great! Could you tell me the exact name of the algorithm? Thx!
macmenace81 3 years ago
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vatoek 3 years ago
中国的?
能做个交流么?
zerniken 3 years ago
Yes, I am a Chinese student.
ningxu 3 years ago
Have you worked with motion tracking while object consists of high nonlinear transformation and identity? The kernel method will fail if the image is multi-model instead of having global optimal. Do you have other solution?
KuanDannYan 4 years ago
In fact, I've solved multiple object tracking in another way, that is multiple object recognition. You may refer to my other demos in YouTube.
ningxu 4 years ago
I have seen three of your demostrations. However, it is not exactly the situation I am talking about. If you can take a look at my video samples. I think you may get my point. In my opinion, similarity based tracking algorithm will fail in this case. Maybe we can discuss about this problem sometime?
KuanDannYan 4 years ago
this is amazing. i am working on a project to recognize plates. do you know where i could start. amazing job. way the go.
hmenshari 4 years ago
I think first you should find a robust object recognition algorithm. I've used Lowe's SIFT(or more accurately, a modification to SIFT) in the demo.
ningxu 4 years ago