Monocular visual traffic surveillance: a review
File(s)
Author(s)
Zhang, Xingchen
Feng, Yuxiang
Angeloudis, Panagiotis
Demiris, Yiannis
Type
Journal Article
Abstract
To facilitate the monitoring and management of modern transportation systems, monocular visual traffic surveillance systems have been widely adopted for speed measurement, accident detection, and accident prediction. Thanks to the recent innovations in computer vision and deep learning research, the performance of visual traffic surveillance systems has been significantly improved. However, despite this success, there is a lack of survey papers that systematically review these new methods. Therefore, we conduct a systematic review of relevant studies to fill this gap and provide guidance to future studies. This paper is structured along the visual information processing pipeline that includes object detection, object tracking, and camera calibration. Moreover, we also include important applications of visual traffic surveillance systems, such as speed measurement, behavior learning, accident detection and prediction. Finally, future research directions of visual traffic surveillance systems are outlined.
Date Issued
2022-09-01
Date Acceptance
2022-01-19
Citation
IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (9), pp.14148-14165
ISSN
1524-9050
Publisher
Institute of Electrical and Electronics Engineers
Start Page
14148
End Page
14165
Journal / Book Title
IEEE Transactions on Intelligent Transportation Systems
Volume
23
Issue
9
Sponsor
Innovate UK
Grant Number
104528
Subjects
Science & Technology
Technology
Engineering, Civil
Engineering, Electrical & Electronic
Transportation Science & Technology
Engineering
Transportation
Surveillance
Visualization
Object detection
Cameras
Calibration
Accidents
Velocity measurement
Visual traffic surveillance
camera calibration
speed measurement
accident detection
accident prediction
CAMERA CALIBRATION
ACCIDENT DETECTION
TRACKING
MODEL
VIDEO
CLASSIFICATION
Logistics & Transportation
0801 Artificial Intelligence and Image Processing
0905 Civil Engineering
1507 Transportation and Freight Services
Publication Status
Published
Date Publish Online
2022-02-15