Search: id:"swepub:oai:research.chalmers.se:2e8afcfb-fd55-475e-80d1-b6c273f0e8b1" >
Deep Learning for M...
Deep Learning for Model-Based Multi-Object Tracking
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- Pinto, Juliano, 1990 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Chalmers Univ Technol, Sweden
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- Hess, Georg, 1996 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Chalmers Univ Technol, Sweden
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- Ljungbergh, William (author)
- Linköpings universitet,Datorseende,Tekniska fakulteten,Linköping University
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- Xia, Yuxuan, 1993 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Chalmers Univ Technol, Sweden
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- Wymeersch, Henk, 1976 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Chalmers Univ Technol, Sweden
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- Svensson, Lennart, 1976 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Chalmers Univ Technol, Sweden
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(creator_code:org_t)
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023
- 2023
- English.
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In: IEEE Transactions on Aerospace and Electronic Systems. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 1557-9603 .- 0018-9251. ; 59:6, s. 7363-7379
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Abstract
Subject headings
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- Multi-object tracking (MOT) is the problem of tracking the state of an unknown and time-varying number of objects using noisy measurements, with important applications such as autonomous driving, tracking animal behavior, defense systems, and others. The MOT task can be divided into two settings, model-based or model-free, depending on whether accurate and tractable models of the environment are available. Model-based MOT has Bayes-optimal closed-form solutions which can achieve state-of-the-art (SOTA) performance. However, these methods require approximations in challenging scenarios to remain tractable, which impairs their performance. Deep learning (DL) methods offer a promising alternative, but existing DL models are almost exclusively designed for a model-free setting and are not easily translated to the model-based setting. This paper proposes a DL-based tracker specifically tailored to the model-based MOT setting and provides a thorough comparison to SOTA alternatives. We show that our DL-based tracker is able to match performance to the benchmarks in simple tracking tasks while outperforming the alternatives as the tasks become more challenging. These findings provide strong evidence of the applicability of DL also to the model-based setting, which we hope will foster further research in this direction.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Random Finite Sets
- Multi-object tracking
- Time measurement
- Sea measurements
- Transformers
- Deep Learning
- Data models
- Transformers
- Computational modeling
- Decoding
- Uncertainty Prediction
- Task analysis
Publication and Content Type
- art (subject category)
- ref (subject category)
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- By the author/editor
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Pinto, Juliano, ...
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Hess, Georg, 199 ...
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Ljungbergh, Will ...
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Xia, Yuxuan, 199 ...
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Wymeersch, Henk, ...
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Svensson, Lennar ...
- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Other Computer a ...
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Electrical Engin ...
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and Signal Processin ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Computer Vision ...
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Electrical Engin ...
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and Control Engineer ...
- Articles in the publication
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IEEE Transaction ...
- By the university
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Chalmers University of Technology
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Linköping University