An FPGA-based Parallel Architecture for Face Detection using Mixed Color Models
This work addresses the need for efficient face detection in real-time applications, though it appears incremental as it builds on existing color model techniques.
The paper tackles real-time face detection in color images by combining skin color detection in YCgCr and YIQ color spaces with texture filtering and morphological processing, achieving high detection rates and low false positives with minimal computational cost.
In this paper, a reliable method for detecting human faces in color images is proposed. This system firstly detects skin color in YCgCr and YIQ color space, then filters binary texture and the result is morphological processed, finally converts skin tone to the preferred skin color configured by users in YIQ color space. The real-time adjusting circuit is implemented and some of simulation results are given out. Experimental results demonstrate that the method has achieved high rates and low false positives, another advantage is its simplicity and minor computational costs.