False Alarm Reduction for Imaging Infrared Surveillance Systems


A background clutter rejection method is presented to reduce false alarm rate and detect targets robustly for imaging infrared surveillance systems. The algorithm consists of the following 4 steps; 1) region splitting and merging; 2) histogram modification; 3) mirror image for horizontal line removal; 4) track management with multi-target tracking. Experimental results indicate that the proposed algorithm has upgraded target detection rate with reduced false alarm rate.

  • Abstract
  • Key Words
  • 1. Introduction
  • 2. Background Clutter Rejection Method
  • 3. Multi-Target Tracking Algorithm
  • 4. Experimental Results
  • 5. Summaries
  • References

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