What is it about?

This article purposed a feature extraction method called HIPMG for infrared poarization moasaice image's object tracking. By directly obtain the image feature from the mosaic image, this feature could obtain an effective feature in a suitable time since there's no need to demosaic the image, which could lead to inevitable errors.

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Why is it important?

The demosaic process could lead to inevitable errors, which could be magnified by the Stokes vector and DoLP, AoP's calculation. By directly obtain the feature from the image, these errors could be avodied while enhance the speed in the objet tracking process.

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This page is a summary of: Polarization Gradient Histogram for Object Tracking in Infrared Polarization Imaging, October 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3497623.3497659.
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