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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 11

3d multi-object tracking with multi-modal embedding and trajectory correction

Zhao Guowei1
Liu Hengyuan1
Li Hui1
Qin Xiugong2
Yang Haoran1
Tao Ye1
1. School of Data Science, Qingdao University of Science & Technology, Qingdao Shandong 266061, China
2. Beijing Research Institute of Automation for Machinery Industery Cp, Ltd, Beijing 100120, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0066

Abstract

The multi-modal features of point clouds and images have strong complementary advantages and can effectively improve the performance of three-dimensional multi-object tracking. However, object tracking still faces many challenges due to the complexity of the tracking scene and the uncertainty of the object state. Based on this, this paper propose a three-dimensional multi-object tracking algorithm with multi-modal embedding and trajectory correction. First, it construct a multi-modal embedding learning network to learn more discriminative embedding representations through multi-scale semantic feature learning and multi-modal re-fusion modules. Secondly, it design a multi-feature comprehensive correlation module to jointly track embedding and geometric information, while correcting angle prediction errors to achieve more accurate data correlation. Finally, it propose a dual-stream trajectory correction and management algorithm to correct erroneous disappearing trajectories to improve trajectory accuracy. The proposed method is evaluated on the KITTI data set and compared with other advanced methods. The HOTA index of the proposed method reached 77.72%, and the MOTA index reached 88.24%, showing the best tracking performance overall. Experiments prove that the proposed method effectively improves tracking accuracy, reduces the occurrence of tracking errors, and has good tracking performance.

Foundation Support

国家重点研发计划课题(2023YFF0612102)
青岛市关键技术攻关及产业化示范类项目(23-7-2-qljh-4-gx,24-1-2-qljh-19-gx)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0066
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 11

Publish History

[2024-05-07] Accepted Paper

Cite This Article

赵国伟, 刘恒源, 李辉, 等. 多模态嵌入与轨迹修正的三维多目标跟踪 [J]. 计算机应用研究, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.01.0066. (Zhao Guowei, Liu Hengyuan, Li Hui, et al. 3d multi-object tracking with multi-modal embedding and trajectory correction [J]. Application Research of Computers, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.01.0066. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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