Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration
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Abstract (arXiv)
In this paper, we focus on the multi-object tracking (MOT) problem of automatic driving and robot navigation. Most existing MOT methods track multiple objects using a singular RGB camera, which are prone to camera field-of-view and suffer tracking failures in complex scenarios due to background clutters and poor light conditions. To meet these challenges, we propose a MultiModality PAnoramic multi-object Tracking framework (MMPAT), which takes both 2D panorama images and 3D point clouds as input and then infers target trajectories using the multimodality data. The proposed method contains four major modules, a panorama image detection module, a multimodality data fusion module, a data association module and a trajectory inference model. We evaluate the proposed method on the JRDB dataset, where the MMPAT achieves the top performance in both the detection and tracking tasks and significantly outperforms state-of-the-art methods by a large margin (15.7 and 8.5 improvement in terms of AP and MOTA, respectively).
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 63 of its 92 references that are in the map. First posted on arXiv 31 May 2021.
Builds on
63 of 92 references.
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50 most cited of 63 All 63 (JSON)
Built on by
Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 2; 2025: 2; 2026: 1.
8 papers.
- 2021JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detectioncited by 39
- 2023Real-time Trajectory-based Social Group Detectioncited by 4
- 20233D Multiple Object Tracking on Autonomous Driving: A Literature Reviewcited by 4
- 2025OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedbackcited by 4
- 2024AdaFPP: Adapt-Focused Bi-Propagating Prototype Learning for Panoramic Activity Recognitioncited by 2
- 2024Social-MAE: Social Masked Autoencoder for Multi-person Motion Representation Learningcited by 0
- 2025Inference of Human-derived Specifications of Object Placement via Demonstrationcited by 0
- 2026Re-engineering SORT-based algorithms for low-cost small object tracking from omnidirectional footagecited by 0
- 2026Re-engineering SORT-based algorithms for low-cost small object tracking from omnidirectional footage7 Sep 2026
- 2025OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback1 Nov 2025
- 2025Inference of Human-derived Specifications of Object Placement via Demonstration26 Aug 2025
- 2024AdaFPP: Adapt-Focused Bi-Propagating Prototype Learning for Panoramic Activity Recognition4 May 2024
- 2024Social-MAE: Social Masked Autoencoder for Multi-person Motion Representation Learning8 Apr 2024
- 20233D Multiple Object Tracking on Autonomous Driving: A Literature Review27 Sep 2023
- 2023Real-time Trajectory-based Social Group Detection12 Apr 2023
- 2021JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection16 Jun 2021