Online Feature Selection for Visual Tracking

Versión 1.0 (1,1 MB) por Giorgio
Visual Object Tracking - Tracker presented at BMVC 2016
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Actualizado 11 abr 2018

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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.

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Giorgio (2024). Online Feature Selection for Visual Tracking (https://www.mathworks.com/matlabcentral/fileexchange/66876-online-feature-selection-for-visual-tracking), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2016b
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Más información sobre Tracking and Motion Estimation en Help Center y MATLAB Answers.
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Inspirado por: Feature Selection Library

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Versión Publicado Notas de la versión
1.0