Dynamic Switching State Systems for Visual Tracking
This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought t...
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| Format: | Book Chapter |
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Karlsruhe
KIT Scientific Publishing
2020
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 01499naaaa2200313uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_63764 | ||
| 005 | 20210218 | ||
| 020 | |a KSP/1000122541 | ||
| 024 | 7 | |a 10.5445/KSP/1000122541 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a UY |2 bicssc | |
| 100 | 1 | |a Becker, Stefan |4 auth | |
| 245 | 1 | 0 | |a Dynamic Switching State Systems for Visual Tracking |
| 260 | |a Karlsruhe |b KIT Scientific Publishing |c 2020 | ||
| 300 | |a 1 electronic resource (228 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together. | ||
| 540 | |a Creative Commons |f by-sa/4.0 |2 cc |4 http://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a English | ||
| 650 | 7 | |a Computer science |2 bicssc | |
| 653 | |a videobasierte Objektverfolgung | ||
| 653 | |a state estimation | ||
| 653 | |a visual tracking | ||
| 653 | |a trajectory prediction | ||
| 653 | |a Trajektorienpradiktion | ||
| 653 | |a Zustandsschatzung | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/20.500.12657/46859/1/dynamic-switching-state-systems-for-visual-tracking.pdf |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/63764 |7 0 |z DOAB: description of the publication |