Sharing visual features for multiclass and multiview object detection
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifiers to the image, at multiple locations and scales. This can be slow and can require a lot of training data, since each clas...
| Main Authors: | , , |
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| Sprog: | en_US |
| Udgivet: |
2004
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| Fag: | |
| Online adgang: | http://hdl.handle.net/1721.1/6736 |