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| Autore: |
Tian Wei
|
| Titolo: |
Novel Aggregated Solutions for Robust Visual Tracking in Traf?c Scenarios
|
| Pubblicazione: | KIT Scientific Publishing, 2019 |
| Descrizione fisica: | 1 online resource (XII, 146 p. p.) |
| Soggetto topico: | Technology: general issues |
| Soggetto non controllato: | geringe Beleuchtung |
| low illumination | |
| mehrere Objeke | |
| monocular camera | |
| monokulare Kamera | |
| multiple objects | |
| Occlusion | |
| Tracking | |
| Verdeckung | |
| 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 ![]() |
| ISBN: | 1000091919 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910346946203321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |