Median-based scale invariant local ternary pattern for intelligent video surveillance system.

What is it about?

This article presents a novel moving object detection algorithm using median-based scale invariant local ternary pattern for intelligent video surveillance system. Both the texture and color local features are extracted from the incoming frames independently and they are combined at the classification level to improve the object detection results.

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Why is it important?

Experiment results illustrate that the fusion of MD-SILTP texture with the color features is more stable than the others under smooth surface regions, moving cast shadow, and scaling problems.