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EJIVP
2010

Unsupervised Action Classification Using Space-Time Link Analysis

9 years 6 months ago
Unsupervised Action Classification Using Space-Time Link Analysis
Abstract--In this paper we address the problem of unsupervised discovery of action classes in video data. Different from all existing methods thus far proposed for this task, we present a space-time link analysis approach which matches the performance of traditional unsupervised action categorization methods in a standard dataset. Our method is inspired by the recent success of link analysis techniques in the image domain. By applying these techniques in the space-time domain, we are able to naturally take into account the spatio-temporal relationships between the video features, while leveraging the power of graph matching for action classification. We present an experiment to demonstrate that our approach is capable of handling cluttered backgrounds, activities with subtle movements, and video data from moving cameras.
Haowei Liu, Rogerio Feris, Volker Krüger, Min
Added 17 May 2011
Updated 17 May 2011
Type Journal
Year 2010
Where EJIVP
Authors Haowei Liu, Rogerio Feris, Volker Krüger, Ming-Ting Sun
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