Regional Detection of Traffic Congestion Using in a Large-Scale Surveillance System via Deep Residual TrafficNet
Despite the huge amount of traffic surveillance videos and images have been accumulated in the daily monitoring, deep learning approaches have been underutilized in the application of traffic intelligent management and control. In this paper, traffic images, including various illumination, weather c...
Main Authors: | Ping Wang, Wenbang Hao, Zhu Sun, Saisai Wang, Erlong Tan, Li Li, Yinli Jin |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8532117/ |
Similar Items
-
Exploiting Deeply Supervised Inception Networks for Automatically Detecting Traffic Congestion on Freeway in China Using Ultra-Low Frame Rate Videos
by: Zhu Sun, et al.
Published: (2020-01-01) -
Reliable and Rapid Traffic Congestion Detection Approach Based on Deep Residual Learning and Motion Trajectories
by: Mohamed A. Abdelwahab, et al.
Published: (2020-01-01) -
Traffic congestion prediction based on Hidden Markov Models and contrast measure
by: John F. Zaki, et al.
Published: (2020-09-01) -
IDENTIFICATION OF TRAFFIC CONGESTION ON URBAN ARTERIALS FOR HETEROGENEOUS TRAFFIC
by: Amudapuram Mohan RAO, et al.
Published: (2016-09-01) -
The Prediction of Freeway Traffic Conditions for Logistics Systems
by: Wenke Wang, et al.
Published: (2019-01-01)