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We show how feature selection mechanisms can be successfully employed for ranking the features used by a tracking system, maintaining high frame rates. In particular, feature selection mounted on the Adaptive Color Tracking (ACT) system operates at over 110 FPS. This work demonstrates the importance of feature selection in online and realtime applications, resulted in what is clearly a very impressive performance, our solutions improve by 3% up to 7% the baseline ACT while providing superior results compared to 29 state-of-the-art tracking methods.
Cita come
Giorgio (2026). Online Feature Selection for Visual Tracking (https://it.mathworks.com/matlabcentral/fileexchange/66876-online-feature-selection-for-visual-tracking), MATLAB Central File Exchange. Recuperato .
Riconoscimenti
Ispirato da: Feature Selection Library
Informazioni generali
- Versione 1.0 (1,1 MB)
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
| Versione | Pubblicato | Note della release | Action |
|---|---|---|---|
| 1.0 |
|
