activity
20132023
most citedA Novel Performance Evaluation Methodology for Single-Target Trackers

641 citations · 3k across the 58 of their papers we have counts for

collaborators

85 papers

cs.CV2023

Tracking by 3D Model Estimation of Unknown Objects in Videos

Denys Rozumnyi, Jiri Matas, Marc Pollefeys +2

Most model-free visual object tracking methods formulate the tracking task as object location estimation given by a 2D segmentation or a bounding box in each video frame. We argue…

cs.RO2023★ 9 cited

Efficient Visuo-Haptic Object Shape Completion for Robot Manipulation

Lukas Rustler, Jiri Matas, Matej Hoffmann

For robot manipulation, a complete and accurate object shape is desirable. Here, we present a method that combines visual and haptic reconstruction in a closed-loop pipeline. From…

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…

cs.CV2022★ 26 cited

Human keypoint detection for close proximity human-robot interaction

Jan Docekal, Jakub Rozlivek, Jiri Matas +1

We study the performance of state-of-the-art human keypoint detectors in the context of close proximity human-robot interaction. The detection in this scenario is specific in that…

cs.CV2021

A Discriminative Single-Shot Segmentation Network for Visual Object Tracking

Alan Lukežič, Jiří Matas, Matej Kristan

Template-based discriminative trackers are currently the dominant tracking paradigm due to their robustness, but are restricted to bounding box tracking and a limited range of tran…

cs.CV2021

Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook

Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan +3

Accurate and robust visual object tracking is one of the most challenging and fundamental computer vision problems. It entails estimating the trajectory of the target in an image s…