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Proceedings Paper

Spatio-temporal action localization for human action recognition in large dataset
Author(s): Sameh Megrhi; Marwa Jmal; Azeddine Beghdadi; Wided Mseddi
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Paper Abstract

Human action recognition has drawn much attention in the field of video analysis. In this paper, we develop a human action detection and recognition process based on the tracking of Interest Points (IP) trajectory. A pre-processing step that performs spatio-temporal action detection is proposed. This step uses optical flow along with dense speed-up-robust-features (SURF) in order to detect and track moving humans in moving fields of view. The video description step is based on a fusion process that combines displacement and spatio-temporal descriptors. Experiments are carried out on the big data-set UCF-101. Experimental results reveal that the proposed techniques achieve better performances compared to many existing state-of-the-art action recognition approaches.

Paper Details

Date Published: 4 March 2015
PDF: 11 pages
Proc. SPIE 9407, Video Surveillance and Transportation Imaging Applications 2015, 94070O (4 March 2015); doi: 10.1117/12.2082880
Show Author Affiliations
Sameh Megrhi, Univ. Paris 13 (France)
Marwa Jmal, Ecole Polytechnique de Tunisie (Tunisia)
Azeddine Beghdadi, Univ. Paris 13 (France)
Wided Mseddi, Univ. Paris 13 (France)
Ecole Polytechnique de Tunisie (Tunisia)


Published in SPIE Proceedings Vol. 9407:
Video Surveillance and Transportation Imaging Applications 2015
Robert P. Loce; Eli Saber, Editor(s)

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