Log‐Euclidean bag of words for human action recognition

Representing videos by densely extracted local space–time features has recently become a popular approach for analysing actions. In this study, the authors tackle the problem of categorising human actions by devising bag of words (BoWs) models based on covariance matrices of spatiotemporal features,...

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Bibliographic Details
Main Authors: Masoud Faraki, Maziar Palhang, Conrad Sanderson
Format: Article
Language:English
Published: Wiley 2015-06-01
Series:IET Computer Vision
Subjects:
Online Access:https://doi.org/10.1049/iet-cvi.2014.0018