METFormer: a motion enhanced transformer for multiple object tracking

• Main Authors: Gao, Jianjun, Yap, Kim-Hui, Wang, Yi, Garg, Kratika, Han, Boon Siew
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2025
• 主題: Computer and Information Science; Multiple object tracking; Motion modeling
• 在線閱讀: https://hdl.handle.net/10356/182093

Multiple object tracking (MOT) is an important task in computer vision, especially video analytics. Transformer-based methods are emerging approaches using both tracking and detection queries. However, motion modeling in existing transformer-based methods lacks effective association capability. Thus...