Video-based tracking of vehicles using multiple time-spatial images
作者：
Highlights：
• Low complexity video-based ‘tracking-by-detection’ system for vehicles in traffic
• Use of multiple time-spatial images for correction of data association in tracking
• A new metric of tracking performance when ground truths of trajectories are absent
• Experiments on two publicly available databases to compare tracking performance
• Proposed method outperforms the stochastic trackers in varying weather conditions
摘要
•Low complexity video-based ‘tracking-by-detection’ system for vehicles in traffic•Use of multiple time-spatial images for correction of data association in tracking•A new metric of tracking performance when ground truths of trajectories are absent•Experiments on two publicly available databases to compare tracking performance•Proposed method outperforms the stochastic trackers in varying weather conditions
论文关键词：Intelligent traffic management system,Key vehicular frame,Time-spatial images,Vehicle tracking from video
论文评审过程：Received 5 April 2015, Revised 8 June 2016, Accepted 9 June 2016, Available online 11 June 2016, Version of Record 16 June 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.06.020
