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Semantic interpretation of novelty in images using histograms of oriented gradients

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

An approach for the semantic interpretation of image-based novelty in real-world environments is presented. We measure novelty using the concept of pixel-based surprise, which quantifies how much a new observation changes the robot's current probabilistic appearance model of the environment. The corresponding surprise maps are utilized as prior information to reduce the search space of a "Histograms of Oriented Gradients" object detector. Specifically, detection windows are scored and selected using surprise values. Several object classes are simultaneously searched for and learned from a low number of manually taken reference images. Experiments are performed on a human-size robot in a cluttered household environment. Compared to object detection based on a search of the complete image, a 35-fold speed-up is observed. Additionally, the detection performance increases significantly.

OriginalspracheEnglisch
TitelIntelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings
Seiten427-436
Seitenumfang10
AuflagePART 3
DOIs
PublikationsstatusVeröffentlicht - 2012
Veranstaltung5th International Conference on Intelligent Robotics and Applications, ICIRA 2012 - Montreal, QC, Kanada
Dauer: 3 Okt. 20125 Okt. 2012

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NummerPART 3
Band7508 LNAI
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz5th International Conference on Intelligent Robotics and Applications, ICIRA 2012
Land/GebietKanada
OrtMontreal, QC
Zeitraum3/10/125/10/12

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