Title: | Human action recognition in videos: a comparative evaluation of the classical and velocity adaptation space-time interest points techniques |
Authors: | Almeida, Ana Paula G S de Espinoza, Bruno Luiggi M. Barros Vidal, Flavio de |
Citation: | WSCG '2017: short communications proceedings: The 25th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 29 - June 2 2017, p. 43-50. |
Issue Date: | 2017 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2017/!!_CSRN-2702.pdf http://hdl.handle.net/11025/29733 |
ISBN: | 978-80-86943-45-9 |
ISSN: | 2464-4617 |
Keywords: | rozpoznávání lidských akcí;podpůrný vektorový stroj;prostorové časové body;C-STIP;V-STIP |
Keywords in different language: | human action recognition;support vector machine;space-time interest points;C-STIP;V-STIP |
Abstract: | Human action recognition is a topic widely studied over time, using numerous techniques and methods to solve a fundamental problem in automatic video analysis. Basically, a traditional human action recognition system collects video frames of human activities, extracts the desired features of each human skeleton and classify them to distinguish human gesture. However, almost all of these approaches roll out the space-time information of the recognition process. In this paper we present a novel use of an existing state-of-the-art space-time technique, the Space-Time Interest Point (STIP) detector and its velocity adaptation, to human action recognition process. Using STIPs as descriptors and a Support Vector Machine classifier, we evaluate four different public video datasets to validate our methodology and demonstrate its accuracy in real scenarios. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2017: Short Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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Almeida.pdf | Plný text | 1,6 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29733
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