DETrack: Multi-Object Tracking Algorithm Based on Feature Decomposition and Feature Enhancement-Reference-Cited by-同舟云学术

DETrack: Multi-Object Tracking Algorithm Based on Feature Decomposition and Feature Enhancement

Published:2024-09-01 Issue:9 Volume:E107.A Page:1522-1533
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

WEN Feng¹,HUANG Haixin²,YIN Xiangyang¹,MA Junguang¹,HU Xiaojie¹

Affiliation:

1. School of Information Science and Engineering, Shenyang Ligong University

2. School of Automation and Electrical Engineering, Shenyang Ligong University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Link

https://www.jstage.jst.go.jp/article/transfun/E107.A/9/E107.A_2023EAP1162/_pdf

Reference45 articles.

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2. [2] Z. Lu, V. Rathod, R. Votel, and J. Huang, “RetinaTrack: Online single stage joint detection and tracking,” Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.14668-14678, 2020. 10.1109/cvpr42600.2020.01468

3. [3] Z. Wang, L. Zheng, Y. Liu, Y. Li, and S. Wang, “Towards real-time multi-object tracking,” Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, Aug. 2020, Proceedings, Part XI 16, pp.107-122, Springer, 2020. 10.1007/978-3-030-58621-8_7

4. [4] X. Zhou, V. Koltun, and P. Krähenbühl, “Tracking objects as points,” Proc. European Conference on Computer Vision (ECCV), Glasgow, UK, pp.474-490, 2020. 10.1007/978-3-030-58548-8_28

5. [5] S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards real-time object detection with region proposal networks,” Advances in Neural Information Processing Systems, vol.28, 2015.