A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Purpose -Detecting objects in images and videos is a difficult task that has challenged the field of computer vision. Most of the algorithms for object detection are sensitive to background clutter and occlusion, and cannot localize the edge of the object. An object's shape is typically the most discriminative cue for its recognition by humans. The purpose of this paper is to introduce a model-based object detection method which uses only shape-fragment features. Design/methodology/approachdoi:10.1109/urai.2011.6145941 dblp:conf/urai/ChenXSWRS11 fatcat:b6ng2a5srrbbxdgojquqxnk53q