Open access
2026
SmoC-Track: Smoothing Observation Noise and Feature Degradation for Robust Multi-Object Tracking
SmoC-Track is proposed, a robust MOT approach that dynamically models track confidence to integrate reliable confidence cues as prior constraints into the data association process, and the Confidence-Height Joint Intersection over Union (CHIoU), a confidence-guided adaptive boundary buffer metric.
Lingguang Xie, Peng Wu, Renjie Xu et al.
· IEEE Access · 0 citations