Segmentation according to natural examples: Learning static segmentation from motion segmentation

Segmentation according to natural examples: Learning static segmentation from motion segmentation

The segmentation according to natural examples (SANE) algorithm learns to segment objects in static images from video training data. SANE uses background subtraction to find the segmentation of moving objects in videos. This provides object segmentation information for each video frame. The collecti...

Full description

Bibliographic Details
Main Authors: Kaelbling, Leslie P. (Contributor), Ross, Michael G. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-12-10T21:33:30Z.
Subjects:
Article
Online Access:Get fulltext

Internet

Get fulltext

Similar Items