Real-time driver monitoring system with facial landmark-based eye closure detection and head pose recognition.

ABSTRACT: This paper introduces a real-time Driver Monitoring System (DMS) designed to monitor driver behavior while driving, employing facial landmark estimation-based behavior recognition. The system utilizes an infrared (IR) camera to capture and analyze video data. Through facial landmark estimation, crucial information about the driver's head posture and eye area is extracted from the detected facial region, obtained via face detection. The proposed method consists of two distinct modules, each focused on recognizing specific behaviors. The first module employs head pose analysis to detect instances of inattention. By monitoring the driver's head movements along the horizontal and vertical axes, this module assesses the driver's attention level. The second module implements an eye-closure recog

SUBMITTER: Kim D 

PROVIDER: S-EPMC10600215 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature