all AI news
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. (arXiv:2111.14690v2 [cs.CV] UPDATED)
May 6, 2022, 1:10 a.m. | Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo
cs.CV updates on arXiv.org arxiv.org
A typical pipeline for multi-object tracking (MOT) is to use a detector for
object localization, and following re-identification (re-ID) for object
association. This pipeline is partially motivated by recent progress in both
object detection and re-ID, and partially motivated by biases in existing
tracking datasets, where most objects tend to have distinguishing appearance
and re-ID models are sufficient for establishing associations. In response to
such bias, we would like to re-emphasize that methods for multi-object tracking
should also work when …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Intelligence Analyst
@ Rappi | COL-Bogotá
Applied Scientist II
@ Microsoft | Redmond, Washington, United States