This chapter deals with the problem of learning behaviors of people activities from (possibly big) sets of visual dynamic data, with a specific reference to video-surveillance applications. The study focuses mainly on devising meaningful data abstractions able to capture the intrinsic nature of the available data, and applying similarity...
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2011 (v1)PublicationUploaded on: April 14, 2023
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2013 (v1)Publication
In this paper we present and start analyzing the iCub World data-set, an object recognition data-set, we acquired using a Human-Robot Interaction (HRI) scheme and the iCub humanoid robot platform. Our set up allows for rapid acquisition and annotation of data with correspond- ing ground truth. While more constrained in its scopes – the iCub...
Uploaded on: April 14, 2023