AIPT: Adaptive information perception for online multi-object tracking
- 6 January 2024
- journal article
- research article
- Published by Elsevier in Knowledge-Based Systems
- Vol. 285, 111369
Abstract
No abstract availableKeywords
This publication has 38 references indexed in Scilit:
- Track to Reconstruct and Reconstruct to TrackIEEE Robotics and Automation Letters, 2020
- Tracking Without Bells and Whistles2019
- Online Multi-Object Tracking Using Joint Domain Information in Traffic ScenariosIEEE Transactions on Intelligent Transportation Systems, 2019
- Deep Residual Learning for Image Recognition2016
- Learning to Track: Online Multi-object Tracking by Decision Making2015
- One global optimization method in network flow model for multiple object trackingKnowledge-Based Systems, 2015
- Vision meets robotics: The KITTI datasetThe International Journal of Robotics Research, 2013
- Evaluating Multiple Object Tracking Performance: The CLEAR MOT MetricsEURASIP Journal on Image and Video Processing, 2008
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- The Hungarian method for the assignment problemNaval Research Logistics Quarterly, 1955