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Novel Aggregated Solutions for Robust Visual Tracking in Traf?c Scenarios



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Autore: Tian Wei Visualizza persona
Titolo: Novel Aggregated Solutions for Robust Visual Tracking in Traf?c Scenarios Visualizza cluster
Pubblicazione: KIT Scientific Publishing, 2019
Descrizione fisica: 1 electronic resource (XII, 146 p. p.)
Soggetto non controllato: Occlusion
geringe Beleuchtung
Tracking
multiple objects
monocular camera
low illumination
mehrere Objeke
Verdeckung
monokulare Kamera
Verfolgung
Sommario/riassunto: This work proposes novel approaches for object tracking in challenging scenarios like severe occlusion, deteriorated vision and long range multi-object reidenti?cation. All these solutions are only based on image sequence captured by a monocular camera and do not require additional sensors. Experiments on standard benchmarks demonstrate an improved state-of-the-art performance of these approaches. Since all the presented approaches are smartly designed, they can run at a real-time speed.
Titolo autorizzato: Novel Aggregated Solutions for Robust Visual Tracking in Traf?c Scenarios  Visualizza cluster
ISBN: 1000091919
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910346946203321
Lo trovi qui: Univ. Federico II
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