A SURF-Based Spatio-Temporal Feature for Feature-Fusion-Based Action Recognition

Abstract

In this paper, we propose a novel spatio-temporal feature which is useful for feature-fusion-based action recognition with Multiple Kernel Learning (MKL). The proposed spatio-temporal feature is based on moving SURF interest points grouped by Delaunay triangulation and on their motion over time. Since this local spatio-temporal feature has different… (More)
DOI: 10.1007/978-3-642-35749-7_12

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