Ask Your Question

Revision history [back]

click to hide/show revision 1
initial version

Effective multiple object detection with a small data set

Hello,

I want to detect objects according to images from a database filled by the user, with a maximum amount of 6 images(for 6 different angles).

This amount is not enough for building a classifier, but I still need to be able to detect the objects in different backgrounds, different light conditions etc, in real time.

I also need to detect multiple objects in every frame and be able to find a relation between the detected objects (for example: Cup on Table).

How can I perform this kind of detection when I only have a small data set that I can't control? How sould I apply it on the other objects without increasing the response time? And How could I recognize the relation between them?

Thank you.