In-Cabin Gesture Recognition That Rejects Outside Light Sources

The patent applies local quality by examining specific local characteristics of hand candidates, particularly the presence of fingers. The determination unit checks whether a hand candidate has a local structure corresponding to multiple fingers extending from a palm region. This local structural analysis allows the system to distinguish between actual hands and light sources that may have similar overall shapes but lack the characteristic finger structure, thereby improving identification accuracy while maintaining gesture recognition capability.

The patent applies segmentation by dividing the hand candidate analysis into multiple stages: initial shape matching to identify potential hand regions, followed by detailed structural analysis of finger patterns. The determination unit segments the evaluation process into coarse-grained shape comparison and fine-grained finger structure verification. This multi-level segmentation allows the system to maintain processing speed through efficient initial filtering while achieving high precision through subsequent detailed analysis of finger arrangements and hand morphology.