A novel video based system for detecting and counting vehicles at user-defined virtual loops
作者：
Highlights：
• We present a system for detecting and counting vehicles in urban traffic videos.
• The detected and tracked vehicles are counted at user defined virtual loops.
• A background model is defined using Mixtures of Gaussians and Motion Energy Images.
• Vehicle detection and tracking relies on a flexible particle clustering scheme.
• The method potentially can be reliable based on experiments and method comparisons.
摘要
•We present a system for detecting and counting vehicles in urban traffic videos.•The detected and tracked vehicles are counted at user defined virtual loops.•A background model is defined using Mixtures of Gaussians and Motion Energy Images.•Vehicle detection and tracking relies on a flexible particle clustering scheme.•The method potentially can be reliable based on experiments and method comparisons.
论文关键词：Vehicle counting,Vehicle tracking,Particle filtering,Particle clustering,Computer vision,Video processing
论文评审过程：Available online 13 October 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.045
