Open AccessIntelligent Recognition of Vehicle Information in Surveillance Video
Author(s) -
Jia He,
Meng Wang,
Tianyan You
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/3/032049
Subject(s) - computer science , cognitive neuroscience of visual object recognition , artificial intelligence , vehicle type , residual , feature (linguistics) , computer vision , pattern recognition (psychology) , convergence (economics) , object (grammar) , engineering , algorithm , transport engineering , economic growth , linguistics , philosophy , economics
In this paper, a method of real-time vehicle speed and vehicle type recognition is proposed. The vehicle type recognition is based on residual network to increase the convergence speed and improve the feature expression ability, and attach the centre loss to improve recognition accuracy of similar vehicles. The speed recognition is based on moving object detection. Experimental results show that the average error of vehicle speed is no more than 5%, and the average precision of vehicle type recognition is 85%, towards minibus and cars, the precision reaches 98.7%, which is superior to the traditional recognition method.