An integrated system for vehicle tracking and classification

作者：

Highlights：

• We present a customized system for vehicle tracking and classification.

• The system has been designed to work with real world data provided by the industry.

• The tracker is designed adapting the template matching approach to the data.

• The classifier uses machine learning to discriminate between cars and trucks.

• The system outperforms the state of the art on the considered data.

摘要

•We present a customized system for vehicle tracking and classification.•The system has been designed to work with real world data provided by the industry.•The tracker is designed adapting the template matching approach to the data.•The classifier uses machine learning to discriminate between cars and trucks.•The system outperforms the state of the art on the considered data.

论文关键词：Traffic monitoring,Vehicle tracking,Vehicle classification,Data-driven,Template matching

论文评审过程：Available online 29 May 2015, Version of Record 14 June 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.05.055