GMOT-40: A Benchmark for Generic Multiple Object Tracking

GMOT-40: A Benchmark for Generic Multiple Object Tracking

24 November 2020

Peng Chu

Papers citing "GMOT-40: A Benchmark for Generic Multiple Object Tracking"

7 / 7 papers shown

Title
TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes X. Cao Y. Zheng Yao Yao Huapeng Qin Xiaoyu Cao Shihui Guo 61 1 0 03 Jan 2025
Collecting Consistently High Quality Object Tracks with Minimal Human Involvement by Using Self-Supervised Learning to Detect Tracker Errors Samreen Anjum Suyog Jain Danna Gurari 34 0 0 06 May 2024
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object Hyunseo Kim Hye Jung Yoon Minji Kim Dong-Sig Han Byoung-Tak Zhang 16 0 0 08 Jun 2023
Large Scale Real-World Multi-Person Tracking Bing Shuai Alessandro Bergamo Uta Buechler Andrew G. Berneshawi Alyssa Boden Joseph Tighe 13 13 0 03 Nov 2022
End-to-end Tracking with a Multi-query Transformer Bruno Korbar Andrew Zisserman VOT 21 6 0 26 Oct 2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting Justin Kay Peter Kulits Suzanne Stathatos Siqi Deng Erik Young Sara Beery Grant Van Horn Pietro Perona 19 26 0 19 Jul 2022
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 228 3,463 0 21 Mar 2017