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Side window detection in near-infrared images utilizing machine learning

  • US 9,652,851 B2
  • Filed: 04/01/2014
  • Issued: 05/16/2017
  • Est. Priority Date: 04/01/2014
  • Status: Active Grant
First Claim
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1. A side window detection method, comprising:

  • generating a deformable part model with respect to an image of a vehicle captured in a near-infrared band utilizing a side window detection and a B-frame detection module in order to obtain a set of candidate side-windows;

    generating a refined deformable part model utilizing super pixel generation and a longest-line detection in order to remove a false alarm with respect to said deformable part model; and

    refining detection performance of said refined deformable part model based on global regional information utilizing a local self-similarity based metric.

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