Driver´s Head Detection Model in Color Image for Driver´s Status Monitoring

In this paper, we proposed a simple driver´s head detection model for driver´s status monitoring, in order to implement interactive safety driving agent system. For intensifying the driver´s head region, we consider normalized color feature combination method with skin color filter. And, the center-surround difference and normalization algorithms are applied for making saliency map of driver´s head in order to nt only reduce the background noise, but also more reinforce the intensity of driver´s head regions than non-head area. The driver´s head regions are simply selected through searching local maximum energy with histogram projection method. And, we adopt the 2D+3D active appearance model (AAM) for tracking driver´s head region and estimating driver´s head pose. Experimental results show that proposed model can successfully detect driver´s head region and estimate driver´s head pose.