@proceedings {125,
	title = {Online segmentation and classification of modeled actions performed in the context of unmodeled ones},
	journal = {British Machine Vision Conference},
	year = {2014},
	abstract = {In this work, we provide a discriminative framework for online simultaneous segmentation
and classification of visual actions, which deals effectively with unknown sequences
that may interrupt the known sequential patterns. To this end we employ Hough
transform to vote in a 3D space for the begin point, the end point and the label of the
segmented part of the input stream. An SVM is used to model each class and to suggest
putative labeled segments on the timeline. To identify the most plausible segments
among the putative ones we apply a dynamic programming algorithm, which maximises
an objective function for label assignment in linear time. The performance of our method
is evaluated on synthetic as well as on real data (Weizmann and Berkeley multimodal human
action database). The proposed approach is of comparable accuracy to the state
of the art for online stream segmentation and classification and performs considerably
better in the presence of previously unseen actions.},
	author = {Dimitrios Kosmopoulos and Kostas Papoutsakis and Antonis Argyros}
}
@proceedings {90,
	title = {Developing visual competencies for  socially assistive robots: the HOBBIT approach},
	journal = {6th International Conference on Pervasive Technologies for Assistive Environments},
	year = {2013},
	abstract = {In this paper, we present our approach towards developing visual competencies for socially assistive robots within the framework of the HOBBIT project. We show how we integrated several vision modules using a layered architectural scheme. Our goal is to endow the mobile robot with visual perception capabilities so that it can interact with the users. We present the key modules of independent motion detection, object detection, body localization, person tracking, head pose estimation and action recognition and we explain how they serve the goal of natural integration of robots in social environments.},
	author = {Kostas Papoutsakis and Pashalis Panteleris and Antonis Ntelidakis and Stavros Stefanou and Xenofon Zabulis and Dimitrios Kosmopoulos and Antonis Argyros}
}
