Learning to count objects in images
We propose a new supervised learning framework for visual object counting tasks, such as estimating the number of cells in a microscopic image or the number of humans in surveillance video frames. We focus on the practically-attractive case when the training images are annotated with dots (one dot p...
| Main Authors: | , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Curran Associates
2011
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