Novel Post-Processing Method for Video Object Segmentation

作者： Osamu Saotome , Alex Lopes Pereira , Daniel Julien Sampaio

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摘要: In this paper we present a novel post-processing method for video segmentation coined as Value Edges (VEDGES). Taking Hue, Saturation and (HSV) images, the calculates quotient between channel of input frame background model. This is used to extract precise edges moving objects. our experiments, proposed was able improve classification results consensus based considered state-of-the-art method.

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Novel Post-Processing Method for Video Object Segmentation

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Novel Post-Processing Method for Video Object Segmentation

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