Title
Compressed-Domain Highway Vehicle Counting by Spatial and Temporal Regression.
Abstract
Counting on-road vehicles in the highway is fundamental for intelligent transportation management. This paper presents the first highway vehicle counting method in compressed domain, aiming at achieving comparable estimation performance with the pixel-domain methods. Counting in compressed domain is rather challenging due to limited information about vehicles and large variance in vehicle numbers....
Year
DOI
Venue
2019
10.1109/TCSVT.2017.2761992
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
Field
DocType
Videos,Feature extraction,Road transportation,Estimation,Surveillance,Metadata,Algorithm design and analysis
Metadata,Traffic flow,Algorithm design,Pattern recognition,Regression,Regression analysis,Computer science,Feature extraction,Exploit,Artificial intelligence,Intelligent transportation system
Journal
Volume
Issue
ISSN
29
1
1051-8215
Citations 
PageRank 
References 
5
0.42
24
Authors
5
Name
Order
Citations
PageRank
Zilei Wang111013.60
Xu Liu22711.96
Jiashi Feng32165140.81
Jian Yang412714.98
Hongsheng Xi535738.39