A survey on vision-based human action recognition

Poppe, Ronald (2010) A survey on vision-based human action recognition. Image and Vision Computing, 28 (6). pp. 976-990. ISSN 0262-8856

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Abstract:	Vision-based human action recognition is the process of labeling image sequences with action labels. Robust solutions to this problem have applications in domains such as visual surveillance, video retrieval and human–computer interaction. The task is challenging due to variations in motion performance, recording settings and inter-personal differences. In this survey, we explicitly address these challenges. We provide a detailed overview of current advances in the field. Image representations and the subsequent classification process are discussed separately to focus on the novelties of recent research. Moreover, we discuss limitations of the state of the art and outline promising directions of research.
Item Type:	Article
Copyright:	© 2010 Elsevier
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/70470
Official URL:	http://dx.doi.org/10.1016/j.imavis.2009.11.014
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