Automatic multiple moving humans detection and tracking in image sequences taken from a stationary thermal infrared camera
作者：
Highlights：
• A novel method to detect and track multiple humans in thermal image sequences.
• A combined similarity function to detect humans without model or training phase.
• An adaptive multi-cue based particle filter to track humans.
• Evaluation on thermal image sequences containing various challenging scenarios.
• Obtained performances are better than other state-of-the-art methods.
摘要
•A novel method to detect and track multiple humans in thermal image sequences.•A combined similarity function to detect humans without model or training phase.•An adaptive multi-cue based particle filter to track humans.•Evaluation on thermal image sequences containing various challenging scenarios.•Obtained performances are better than other state-of-the-art methods.
论文关键词：Infrared imagery,Human detection,Objects tracking,Particle filter,Similarity measure
论文评审过程：Received 4 March 2019, Revised 25 November 2019, Accepted 28 December 2019, Available online 30 December 2019, Version of Record 14 January 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.113171
