Multiple instance learning from multiple cameras
Published • Jun 1, 2010
NobleIDNI4P34W58R70S72
Authors:,,
Peter M. Roth
Christian Leistner
Armin Berger
Abstract
Recently, combining information from multiple cameras has shown to be very beneficial for object detection and tracking. In contrast, the goal of this work is to train detectors exploiting the vast amount of unlabeled data given by geometry information of a specific multiple camera setup. Starting f...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!