Top-down thermal tracking based on rotatable elliptical motion model for intelligent livestock breeding
Abstract Thermal sensors bring a lot of benefits for object tracking due to the robustness to lighting changes over time, which still give a great difficulty to traditional tracking methods. Despite this powerful advantage, the ambiguity due to background clutters and occlusions makes the problem of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kim, Minji [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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| Übergeordnetes Werk: |
Enthalten in: Multimedia systems - Springer Berlin Heidelberg, 1993, 26(2020), 5 vom: 04. Juni, Seite 509-517 |
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| Übergeordnetes Werk: |
volume:26 ; year:2020 ; number:5 ; day:04 ; month:06 ; pages:509-517 |
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| DOI / URN: |
10.1007/s00530-020-00658-5 |
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| 520 | |a Abstract Thermal sensors bring a lot of benefits for object tracking due to the robustness to lighting changes over time, which still give a great difficulty to traditional tracking methods. Despite this powerful advantage, the ambiguity due to background clutters and occlusions makes the problem of thermal sensor-based tracking intractable. In this paper, we propose a novel framework for multiple object tracking in livestock breeding spaces using a single thermal sensor. The key idea of the proposed method is to define a new rotatable elliptical motion model, which is suitable for describing complicated motions of animals. Moreover, the proposed local constraint guides our tracker to robustly chase targets even with severe occlusions. Experimental results on various thermal video sequences show the significant improvement for tracking animals compared to other approaches proposed in the literature. | ||
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10.1007/s00530-020-00658-5 doi (DE-627)OLC2118925735 (DE-He213)s00530-020-00658-5-p DE-627 ger DE-627 rakwb eng 004 VZ 24,1 ssgn 54.00 bkl Kim, Minji verfasserin aut Top-down thermal tracking based on rotatable elliptical motion model for intelligent livestock breeding 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Thermal sensors bring a lot of benefits for object tracking due to the robustness to lighting changes over time, which still give a great difficulty to traditional tracking methods. Despite this powerful advantage, the ambiguity due to background clutters and occlusions makes the problem of thermal sensor-based tracking intractable. In this paper, we propose a novel framework for multiple object tracking in livestock breeding spaces using a single thermal sensor. The key idea of the proposed method is to define a new rotatable elliptical motion model, which is suitable for describing complicated motions of animals. Moreover, the proposed local constraint guides our tracker to robustly chase targets even with severe occlusions. Experimental results on various thermal video sequences show the significant improvement for tracking animals compared to other approaches proposed in the literature. Thermal sensor Multiple object tracking Livestock breeding Rotatable elliptical motion model Occlusion-robust Kim, Wonjun (orcid)0000-0001-5121-5931 aut Enthalten in Multimedia systems Springer Berlin Heidelberg, 1993 26(2020), 5 vom: 04. Juni, Seite 509-517 (DE-627)171214684 (DE-600)1166499-X (DE-576)03871857X 0942-4962 nnns volume:26 year:2020 number:5 day:04 month:06 pages:509-517 https://doi.org/10.1007/s00530-020-00658-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-MKW SSG-OLC-BUB SSG-OPC-BBI GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4277 54.00 VZ AR 26 2020 5 04 06 509-517 |
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10.1007/s00530-020-00658-5 doi (DE-627)OLC2118925735 (DE-He213)s00530-020-00658-5-p DE-627 ger DE-627 rakwb eng 004 VZ 24,1 ssgn 54.00 bkl Kim, Minji verfasserin aut Top-down thermal tracking based on rotatable elliptical motion model for intelligent livestock breeding 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Thermal sensors bring a lot of benefits for object tracking due to the robustness to lighting changes over time, which still give a great difficulty to traditional tracking methods. Despite this powerful advantage, the ambiguity due to background clutters and occlusions makes the problem of thermal sensor-based tracking intractable. In this paper, we propose a novel framework for multiple object tracking in livestock breeding spaces using a single thermal sensor. The key idea of the proposed method is to define a new rotatable elliptical motion model, which is suitable for describing complicated motions of animals. Moreover, the proposed local constraint guides our tracker to robustly chase targets even with severe occlusions. Experimental results on various thermal video sequences show the significant improvement for tracking animals compared to other approaches proposed in the literature. Thermal sensor Multiple object tracking Livestock breeding Rotatable elliptical motion model Occlusion-robust Kim, Wonjun (orcid)0000-0001-5121-5931 aut Enthalten in Multimedia systems Springer Berlin Heidelberg, 1993 26(2020), 5 vom: 04. Juni, Seite 509-517 (DE-627)171214684 (DE-600)1166499-X (DE-576)03871857X 0942-4962 nnns volume:26 year:2020 number:5 day:04 month:06 pages:509-517 https://doi.org/10.1007/s00530-020-00658-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-MKW SSG-OLC-BUB SSG-OPC-BBI GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4277 54.00 VZ AR 26 2020 5 04 06 509-517 |
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Abstract Thermal sensors bring a lot of benefits for object tracking due to the robustness to lighting changes over time, which still give a great difficulty to traditional tracking methods. Despite this powerful advantage, the ambiguity due to background clutters and occlusions makes the problem of thermal sensor-based tracking intractable. In this paper, we propose a novel framework for multiple object tracking in livestock breeding spaces using a single thermal sensor. The key idea of the proposed method is to define a new rotatable elliptical motion model, which is suitable for describing complicated motions of animals. Moreover, the proposed local constraint guides our tracker to robustly chase targets even with severe occlusions. Experimental results on various thermal video sequences show the significant improvement for tracking animals compared to other approaches proposed in the literature. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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Abstract Thermal sensors bring a lot of benefits for object tracking due to the robustness to lighting changes over time, which still give a great difficulty to traditional tracking methods. Despite this powerful advantage, the ambiguity due to background clutters and occlusions makes the problem of thermal sensor-based tracking intractable. In this paper, we propose a novel framework for multiple object tracking in livestock breeding spaces using a single thermal sensor. The key idea of the proposed method is to define a new rotatable elliptical motion model, which is suitable for describing complicated motions of animals. Moreover, the proposed local constraint guides our tracker to robustly chase targets even with severe occlusions. Experimental results on various thermal video sequences show the significant improvement for tracking animals compared to other approaches proposed in the literature. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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Abstract Thermal sensors bring a lot of benefits for object tracking due to the robustness to lighting changes over time, which still give a great difficulty to traditional tracking methods. Despite this powerful advantage, the ambiguity due to background clutters and occlusions makes the problem of thermal sensor-based tracking intractable. In this paper, we propose a novel framework for multiple object tracking in livestock breeding spaces using a single thermal sensor. The key idea of the proposed method is to define a new rotatable elliptical motion model, which is suitable for describing complicated motions of animals. Moreover, the proposed local constraint guides our tracker to robustly chase targets even with severe occlusions. Experimental results on various thermal video sequences show the significant improvement for tracking animals compared to other approaches proposed in the literature. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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| title_short |
Top-down thermal tracking based on rotatable elliptical motion model for intelligent livestock breeding |
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https://doi.org/10.1007/s00530-020-00658-5 |
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Kim, Wonjun |
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10.1007/s00530-020-00658-5 |
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2024-07-03T22:18:10.293Z |
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