DualTTrack: Improving information flow consistency in multi-object tracking via dual-track matching and recovery
• Introduce a Potential Trajectory pool to manage ambiguous low-confidence detections. • Design a Dual-Track Matching mechanism considering main and potential trajectories. • Propose a Dual-Track Recovery mechanism for reactivating lost main trajectories. • Develop a complete and robust tracking framework for multi-object tracking.
Authors
- Weihang Kong (ORCID: https://orcid.org/0000-0003-1453-0603)
- He Li (ORCID: https://orcid.org/0000-0003-1152-5817)
- Zichen Wang (ORCID: https://orcid.org/0009-0005-8231-2925)
- Xingchen Zhang (ORCID: https://orcid.org/0000-0002-8012-0103)
Institutions
- University of Exeter (GB)
- Yanshan University (CN)
Publication Details
- Journal
- Information Processing & Management
- Published
- 2026-05-28
- DOI
- https://doi.org/10.1016/j.ipm.2026.104843
- Primary Topic
- Video Surveillance and Tracking Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hebei Province
- Yanshan University