Vehicle Detection in Urban Traffic Surveillance Images Based on Convolutional Neural Networks with Feature Concatenation

Vehicle Detection in Urban Traffic Surveillance Images Based on Convolutional Neural Networks with Feature Concatenation

Vehicle detection with category inference on video sequence data is an important but challenging task for urban traffic surveillance. The difficulty of this task lies in the fact that it requires accurate localization of relatively small vehicles in complex scenes and expects real-time detection. In...

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Bibliographic Details
Main Authors: Fukai Zhang, Ce Li, Feng Yang
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
vehicle detection
feature concatenation
default box
convolutional neural network
real-time
Online Access:https://www.mdpi.com/1424-8220/19/3/594

Internet

https://www.mdpi.com/1424-8220/19/3/594

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