Multi-Object Tracking with Tracked Object Bounding Box Association

Nanyang Yang, Yi Wang, Lap Pui Chau

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The CenterTrack tracking algorithm achieves state-of-the-art tracking performance using a simple detection model and single-frame spatial offsets to localize objects and predict their associations in a single network. However, this joint detection and tracking method still suffers from high identity switches due to the inferior association method. To reduce the high number of identity switches and improve the tracking accuracy, in this paper, we propose to incorporate a simple tracked object bounding box and overlapping prediction based on the current frame onto the CenterTrack algorithm. Specifically, we propose an Intersection over Union (IOU) distance cost matrix in the association step instead of simple point displacement distance. We evaluate our proposed tracker on the MOT17 test dataset, showing that our proposed method can reduce identity switches significantly by 22.6% and obtain a notable improvement of 1.5% in IDF1 compared to the original CenterTrack's under the same tracklet lifetime. The source code is released at https://github.com/Nanyangny/CenterTrack-IOU.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665449892
DOIs
Publication statusPublished - Jul 2021
Externally publishedYes
Event2021 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2021 - Shenzhen, China
Duration: 5 Jul 20219 Jul 2021

Publication series

Name2021 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2021

Conference

Conference2021 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2021
Country/TerritoryChina
CityShenzhen
Period5/07/219/07/21

Keywords

  • data association
  • joint detection and tracking
  • Multi-object tracking

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Media Technology
  • Control and Optimization

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