Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking

3 Aug 2017 Xiaofei Du Alessio Dore Danail Stoyanov

Tracking-by-detection algorithms are widely used for visual tracking, where the problem is treated as a classification task where an object model is updated over time using online learning techniques. In challenging conditions where an object undergoes deformation or scale variations, the update step is prone to include background information in the model appearance or to lack the ability to estimate the scale change, which degrades the performance of the classifier... (read more)

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