@article{ART002889735},
author={Dae-Hyeon Park and Seong-Ho Lee and Seung-Hwan Bae},
title={A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={10},
pages={19-28},
doi={10.9708/jksci.2022.27.10.019}

TY - JOUR
AU - Dae-Hyeon Park
AU - Seong-Ho Lee
AU - Seung-Hwan Bae
TI - A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 10
PB - The Korean Society Of Computer And Information
SP - 19
EP - 28
SN - 1598-849X
AB - In this paper, we propose the Detector Scheduler which determines the best tracking-by-detection (TBD) mechanism to perform real-time high-accurate multi-object tracking (MOT). The Detector Scheduler determines whether to run a detector by measuring the dissimilarity of features between different frames. Furthermore, we propose a self-supervision method to learn the Detector Scheduler with tracking results since it is difficult to generate ground truth (GT) for learning the Detector Scheduler. Our proposed self-supervision method generates pseudo labels on whether to run a detector when the dissimilarity of the object cardinality or appearance between frames increases. To this end, we propose the Detector Scheduling Loss to learn the Detector Scheduler. As a result, our proposed method achieves real-time high-accurate multi-object tracking by boosting the overall tracking speed while keeping the tracking accuracy at most.
KW - Multi-Object Tracking;Tracking-by-Detection Scheduling;Dissimilarity Learning;Self-Supervised Learning;Quality Measure
DO - 10.9708/jksci.2022.27.10.019
ER -

Dae-Hyeon Park, Seong-Ho Lee and Seung-Hwan Bae. (2022). A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism. Journal of The Korea Society of Computer and Information, 27(10), 19-28.

Dae-Hyeon Park, Seong-Ho Lee and Seung-Hwan Bae. 2022, "A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism", Journal of The Korea Society of Computer and Information, vol.27, no.10 pp.19-28. Available from: doi:10.9708/jksci.2022.27.10.019

Dae-Hyeon Park, Seong-Ho Lee, Seung-Hwan Bae "A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism" Journal of The Korea Society of Computer and Information 27.10 pp.19-28 (2022) : 19.

Dae-Hyeon Park, Seong-Ho Lee, Seung-Hwan Bae. A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism. 2022; 27(10), 19-28. Available from: doi:10.9708/jksci.2022.27.10.019

Dae-Hyeon Park, Seong-Ho Lee and Seung-Hwan Bae. "A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism" Journal of The Korea Society of Computer and Information 27, no.10 (2022) : 19-28.doi: 10.9708/jksci.2022.27.10.019

Dae-Hyeon Park; Seong-Ho Lee; Seung-Hwan Bae. A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism. Journal of The Korea Society of Computer and Information, 27(10), 19-28. doi: 10.9708/jksci.2022.27.10.019

Dae-Hyeon Park; Seong-Ho Lee; Seung-Hwan Bae. A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism. Journal of The Korea Society of Computer and Information. 2022; 27(10) 19-28. doi: 10.9708/jksci.2022.27.10.019

Dae-Hyeon Park, Seong-Ho Lee, Seung-Hwan Bae. A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism. 2022; 27(10), 19-28. Available from: doi:10.9708/jksci.2022.27.10.019

Dae-Hyeon Park, Seong-Ho Lee and Seung-Hwan Bae. "A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism" Journal of The Korea Society of Computer and Information 27, no.10 (2022) : 19-28.doi: 10.9708/jksci.2022.27.10.019