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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...

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