Work

DualTTrack: Improving information flow consistency in multi-object tracking via dual-track matching and recovery

Year: 2026

Type: article

Abstract: • 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.

Source: Information Processing & Management

DOI: 10.1016/j.ipm.2026.104843

Authors: He Li, Zichen Wang, Weihang Kong, Xingchen Zhang

Institutions: Yanshan University, University of Exeter

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,670

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hebei Province, Yanshan University