Publication:
Dynamic Spatio-Temporal Bag of Expressions (D-STBoE) Model for Human Action Recognition

Loading...
Thumbnail Image
Identifiers
Publication date
2019-06-21
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
Human action recognition (HAR) has emerged as a core research domain for video understanding and analysis, thus attracting many researchers. Although significant results have been achieved in simple scenarios, HAR is still a challenging task due to issues associated with view independence, occlusion and inter-class variation observed in realistic scenarios. In previous research efforts, the classical bag of visual words approach along with its variations has been widely used. In this paper, we propose a Dynamic Spatio-Temporal Bag of Expressions (D-STBoE) model for human action recognition without compromising the strengths of the classical bag of visual words approach. Expressions are formed based on the density of a spatio-temporal cube of a visual word. To handle inter-class variation, we use class-specific visual word representation for visual expression generation. In contrast to the Bag of Expressions (BoE) model, the formation of visual expressions is based on the density of spatio-temporal cubes built around each visual word, as constructing neighborhoods with a fixed number of neighbors could include non-relevant information making a visual expression less discriminative in scenarios with occlusion and changing viewpoints. Thus, the proposed approach makes the model more robust to occlusion and changing viewpoint challenges present in realistic scenarios. Furthermore, we train a multi-class Support Vector Machine (SVM) for classifying bag of expressions into action classes. Comprehensive experiments on four publicly available datasets: KTH, UCF Sports, UCF11 and UCF50 show that the proposed model outperforms existing state-of-the-art human action recognition methods in term of accuracy to 99.21%, 98.60%, 96.94 and 94.10%, respectively.
Description
This article belongs to the Section Intelligent Sensors
Keywords
Human action recognition, Bag of Words (BoW), Bag of Expressions (BoE), Spatio-temporal, Dynamic neighborhood
Bibliographic citation
Nazir, S., Haroon Yousaf, M., Nebel, J.C. y Velastín, S.A. (2019). Dynamic Spatio-Temporal Bag of Expressions (D-STBoE) Model for Human Action Recognition. Sensors, 19(12), 2790