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cs.CV2023
MFT: Long-Term Tracking of Every Pixel
Michal Neoral, Jonáš Šerých, Jiří Matas
We propose MFT -- Multi-Flow dense Tracker -- a novel method for dense, pixel-level, long-term tracking. The approach exploits optical flows estimated not only between consecutive…
cs.CV2023
Planar Object Tracking via Weighted Optical Flow
Jonas Serych, Jiri Matas
We propose WOFT -- a novel method for planar object tracking that estimates a full 8 degrees-of-freedom pose, i.e. the homography w.r.t. a reference view. The method uses a novel m…