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Modeling Two-Person Segmentation and Locomotion for Stereoscopic Action Identification: A Sustainable Video Surveillance System

Title
Modeling Two-Person Segmentation and Locomotion for Stereoscopic Action Identification: A Sustainable Video Surveillance System
Author
김기범
Issue Date
2021-01
Publisher
MDPI
Citation
SUSTAINABILITY, v. 13, No. 2, Article no. 970, 30pp
Abstract
Due to the constantly increasing demand for automatic tracking and recognition systems, there is a need for more proficient, intelligent and sustainable human activity tracking. The main purpose of this study is to develop an accurate and sustainable human action tracking system that is capable of error-free identification of human movements irrespective of the environment in which those actions are performed. Therefore, in this paper we propose a stereoscopic Human Action Recognition (HAR) system based on the fusion of RGB (red, green, blue) and depth sensors. These sensors give an extra depth of information which enables the three-dimensional (3D) tracking of each and every movement performed by humans. Human actions are tracked according to four features, namely, (1) geodesic distance
URI
https://www.mdpi.com/2071-1050/13/2/970https://repository.hanyang.ac.kr/handle/20.500.11754/167032
ISSN
2071-1050
DOI
10.3390/su13020970
Appears in Collections:
ETC[S] > 연구정보
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