A Research Platform for Embodied Visual Object Recognition
2010 (English)In: Proceedings of SSBA 2010 Symposium on Image Analysis / [ed] Hendriks Luengo and Milan Gavrilovic, 2010, 137-140 p.Conference paper (Other academic)
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.
Place, publisher, year, edition, pages
2010. 137-140 p.
, Centre for Image Analysis Report Series, ISSN 1100-6641 ; 34
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-70769OAI: oai:DiVA.org:liu-70769DiVA: diva2:441485
SSBA 2010, Uppsala, Sweden, 11-12 March 2010