Simple gait parameterization and 3D animation for anonymous visual monitoring based on augmented reality
Abstract
The article presents a method for video anonymization and replacing real human silhouettes with virtual 3D figures rendered on a screen. Video stream is processed to detect and to track objects, whereas anonymization stage employs animating avatars accordingly to behavior of detected persons. Location, movement speed, direction, and person height are taken into account during animation and rendering phases. This approach requires a calibrated camera, and utilizes results of visual object tracking. A procedure for transforming objects visual features and bounding boxes into gait parameters for animated figures is presented. Conclusions and future work perspectives are provided.
Citations
-
2
CrossRef
-
0
Web of Science
-
2
Scopus
Author (1)
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- Copyright (Springer Science+Business Media New York 2015)
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
MULTIMEDIA TOOLS AND APPLICATIONS
no. 75,
edition 17,
pages 1 - 21,
ISSN: 1380-7501 - Publication year:
- 2016
- Bibliographic description:
- Szczuko P.: Simple gait parameterization and 3D animation for anonymous visual monitoring based on augmented reality// MULTIMEDIA TOOLS AND APPLICATIONS. -Vol. 75, iss. 17 (2016), s.1-21
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s11042-015-2874-0
- Verified by:
- Gdańsk University of Technology
seen 135 times
Recommended for you
Comparative study on the effectiveness of various types of road traffic intensity detectors
- A. Czyżewski,
- A. Sroczynski,
- T. Smialkowski
- + 9 authors