Novel Aggregated Solutions for Robust Visual Tracking in Traf?c Scenarios
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. Experime...
Sparad:
| Huvudupphov: | |
|---|---|
| Materialtyp: | Online |
| Språk: | engelska |
| Utgiven: |
KIT Scientific Publishing
2021
|
| Ämnen: | |
| Länkar: | 34337 |
| Taggar: |
Inga taggar, Lägg till första taggen!
|
| Sammanfattning: | 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. |
|---|