A Framework for Detecting Vehicle Occupancy Based on the Occupant Labeling Method
Joint Authors
Lee, Jooyoung
Byun, Jihye
Lim, Jaedeok
Lee, Jaeyun
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
High-occupancy vehicle (HOV) lanes or congestion toll discount policies are in place to encourage multipassenger vehicles.
However, vehicle occupancy detection, essential for implementing such policies, is based on a labor-intensive manual method.
To solve this problem, several studies and some companies have tried to develop an automated detection system.
Due to the difficulties of the image treatment process, those systems had limitations.
This study overcomes these limits and proposes an overall framework for an algorithm that effectively detects occupants in vehicles using photographic data.
Particularly, we apply a new data labeling method that enables highly accurate occupant detection even with a small amount of data.
The new labeling method directly labels the number of occupants instead of performing face or human labeling.
The human labeling, used in existing research, and occupant labeling, this study suggested, are compared to verify the contribution of this labeling method.
As a result, the presented model’s detection accuracy is 99% for the binary case (2 or 3 occupants or not) and 91% for the counting case (the exact number of occupants), which is higher than the previously studied models’ accuracy.
Basically, this system is developed for the two-sided camera, left and right, but only a single side, right, can detect the occupancy.
The single side image accuracy is 99% for the binary case and 87% for the counting case.
These rates of detection are also better than existing labeling.
American Psychological Association (APA)
Lee, Jooyoung& Byun, Jihye& Lim, Jaedeok& Lee, Jaeyun. 2020. A Framework for Detecting Vehicle Occupancy Based on the Occupant Labeling Method. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1180826
Modern Language Association (MLA)
Lee, Jooyoung…[et al.]. A Framework for Detecting Vehicle Occupancy Based on the Occupant Labeling Method. Journal of Advanced Transportation No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1180826
American Medical Association (AMA)
Lee, Jooyoung& Byun, Jihye& Lim, Jaedeok& Lee, Jaeyun. A Framework for Detecting Vehicle Occupancy Based on the Occupant Labeling Method. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1180826
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1180826