NCT:noise-control multi-object tracking Article Swipe
Kai Zeng
,
Yujie You
,
Tao Shen
,
Qingwang Wang
,
Zhimin Tao
,
Zhifeng Wang
,
Quanjun Liu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s40747-022-00946-9
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s40747-022-00946-9
Multi-Object Tracking (MOT) is an important topic in computer vision. Recent MOT methods based on the anchor-free paradigm trade complicated hierarchical structures for tracking performance. However, existing anchor-free MOT methods ignore the noise in detection, data association, and trajectory reconnection stages, which results in serious problems, such as missing detection of small objects, insufficient motion information, and trajectory drifting. To solve these problems, this paper proposes Noise-Control Tracker (NCT), which focuses on the noise-control design of detection, association, and reconnection. First, a prior depth denoise method is introduced to suppress the fusion feature redundant noise, which can recover the gradient information of the heatmap fusion features. Then, the Smoothing Gain Kalman filter is designed, which combines the Gaussian function with the adaptive observation coefficient matrix to stabilize the mutation noise of Kalman gain. Finally, to address the drift noise issue, the gradient boosting reconnection context mechanism is designed, which realizes adaptive trajectory reconnection to effectively fill the gaps in trajectories. With the assistance of the plug-and-play noise-control method, the experimental results on MOTChallenge 16 &17 datasets indicate that the NCT can achieve better performance than other state-of-the-art trackers.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s40747-022-00946-9
- https://link.springer.com/content/pdf/10.1007/s40747-022-00946-9.pdf
- OA Status
- gold
- Cited By
- 14
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313479889
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4313479889Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s40747-022-00946-9Digital Object Identifier
- Title
-
NCT:noise-control multi-object trackingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-03Full publication date if available
- Authors
-
Kai Zeng, Yujie You, Tao Shen, Qingwang Wang, Zhimin Tao, Zhifeng Wang, Quanjun LiuList of authors in order
- Landing page
-
https://doi.org/10.1007/s40747-022-00946-9Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s40747-022-00946-9.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/s40747-022-00946-9.pdfDirect OA link when available
- Concepts
-
Kalman filter, Computer science, Noise (video), Trajectory, Artificial intelligence, Tracking (education), Computer vision, Smoothing, Context (archaeology), Sensor fusion, Control theory (sociology), Control (management), Physics, Psychology, Image (mathematics), Pedagogy, Biology, Paleontology, AstronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 9, 2023: 1Per-year citation counts (last 5 years)
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59Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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