6 papers
Segmentation-Guided Homography Estimation for Long-Term Planar Tracking
Jonas Serych, Jiri Matas
Recent state-of-the-art visual trackers produce high quality and long-term-stable segmentation masks. We propose to leverage these strengths for planar object tracking, in which th…
MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation
Jonas Serych, Michal Neoral, Jiri Matas
In this work, we present MFTIQ, a novel dense long-term tracking model that advances the Multi-Flow Tracker (MFT) framework to address challenges in point-level visual tracking in…
Dense Matchers for Dense Tracking
Tomáš Jelínek, Jonáš Šerých, Jiří Matas
Optical flow is a useful input for various applications, including 3D reconstruction, pose estimation, tracking, and structure-from-motion. Despite its utility, the field of dense…
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…
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…
Visual Coin-Tracking: Tracking of Planar Double-Sided Objects
Jonáš Šerých, Jiří Matas
We introduce a new video analysis problem -- tracking of rigid planar objects in sequences where both their sides are visible. Such coin-like objects often rotate fast with respect…