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A Research Platform for Embodied Visual Object Recognition

Marcus Wallenberg, Per-Erik Forssén
SSBA10
Proceedings SSBA'10 Symposium on Image Analysis
Pages 137-140
March 2010

Abstract

We present in this paper a research platform for development and evaluation of embodied visual object recognition strategies. The platform uses a stereoscopic peripheral-foveal camera system and a fast pan-tilt unit to perform saliency-based visual search. This is combined with a classification framework based on the bag-of-features paradigm with the aim of targeting, classifying and recognising objects. Interaction with the system is done via typed commands and speech synthesis. We also report the current classification performance of the system.

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Bibtex entry

@InProceedings{wallenberg10,
  author = 	 {Marcus Wallenberg and Per-Erik Forss\'en},
  title = 	 {A Research Platform for Embodied Visual Object Recognition},
  booktitle = {Proceedings {SSBA'10} Symposium on Image Analysis},
  year = {2010},
  month = {March},
  pages = {137-140},
}

Per-Erik Forssén
 

Per-Erik Forssén

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Computer Vision Laboratory
Department of Electrical Engineering
Building B
Room 2D:521
SE-581 83 Linköping, Sweden
+46(0)13 285654

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Last updated: 2024-09-28