M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking Article Swipe
Jiaming Liu
,
Yue Wu
,
Maoguo Gong
,
Qiguang Miao
,
Wenping Ma
,
Cai Xu
,
Can Qin
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v38i4.28152
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v38i4.28152
3D Single Object Tracking (SOT) stands a forefront task of computer vision, proving essential for applications like autonomous driving. Sparse and occluded data in scene point clouds introduce variations in the appearance of tracked objects, adding complexity to the task. In this research, we unveil M3SOT, a novel 3D SOT framework, which synergizes multiple input frames (template sets), multiple receptive fields (continuous contexts), and multiple solution spaces (distinct tasks) in ONE model. Remarkably, M3SOT pioneers in modeling temporality, contexts, and tasks directly from point clouds, revisiting a perspective on the key factors influencing SOT. To this end, we design a transformer-based network centered on point cloud targets in the search area, aggregating diverse contextual representations and propagating target cues by employing historical frames. As M3SOT spans varied processing perspectives, we've streamlined the network—trimming its depth and optimizing its structure—to ensure a lightweight and efficient deployment for SOT applications. We posit that, backed by practical construction, M3SOT sidesteps the need for complex frameworks and auxiliary components to deliver sterling results. Extensive experiments on benchmarks such as KITTI, nuScenes, and Waymo Open Dataset demonstrate that M3SOT achieves state-of-the-art performance at 38 FPS. Our code and models are available at https://github.com/ywu0912/TeamCode.git.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1609/aaai.v38i4.28152
- https://ojs.aaai.org/index.php/AAAI/article/download/28152/28306
- OA Status
- diamond
- Cited By
- 7
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393154549
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393154549Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1609/aaai.v38i4.28152Digital Object Identifier
- Title
-
M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object TrackingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-24Full publication date if available
- Authors
-
Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can QinList of authors in order
- Landing page
-
https://doi.org/10.1609/aaai.v38i4.28152Publisher landing page
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-
https://ojs.aaai.org/index.php/AAAI/article/download/28152/28306Direct link to full text PDF
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YesWhether a free full text is available
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-
diamondOpen access status per OpenAlex
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https://ojs.aaai.org/index.php/AAAI/article/download/28152/28306Direct OA link when available
- Concepts
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Tracking (education), Computer science, Computer vision, Frame (networking), Space (punctuation), Object (grammar), Artificial intelligence, Video tracking, Field (mathematics), Mathematics, Telecommunications, Pure mathematics, Psychology, Pedagogy, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 2Per-year citation counts (last 5 years)
- References (count)
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51Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.is_published | True |
| primary_location.raw_source_name | Proceedings of the AAAI Conference on Artificial Intelligence |
| primary_location.landing_page_url | https://doi.org/10.1609/aaai.v38i4.28152 |
| publication_date | 2024-03-24 |
| publication_year | 2024 |
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