Face analysis using CNN-UM

Novel on-chip algorithms are proposed for face analysis on pictures obtained from a multi-camera surveillance system. According to the objective of the face detection sub-system, spatial positional relations to be presented for which the methodology we used is detailed in the paper. The uniqueness of the approach is the methodology we applied provides superior performance (50 fps) on standard database compared to most of the known face detection systems. In the general model based face part identification schema we relied on, the heavy use of morphologic operations gave robust results, even in analog VLSI implementation.