Supplemental Boosting and Cascaded ConvNet Based Transfer Learning Structure for Fast Traffic Sign Detection in Unknown Application Scenes

Supplemental Boosting and Cascaded ConvNet Based Transfer Learning Structure for Fast Traffic Sign Detection in Unknown Application Scenes

With rapid calculation speed and relatively high accuracy, the AdaBoost-based detection framework has been successfully applied in some real applications of machine vision-based intelligent systems. The main shortcoming of the AdaBoost-based detection framework is that the off-line trained detector...

Full description

Bibliographic Details
Main Authors: Chunsheng Liu, Shuang Li, Faliang Chang, Wenhui Dong
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Sensors
Subjects:
object detection
traffic sign detection (TSD)
transfer learning
adaptive boosting (AdaBoost)
convolutional neural networks (CNN)
Online Access:http://www.mdpi.com/1424-8220/18/7/2386

Internet

http://www.mdpi.com/1424-8220/18/7/2386

Similar Items