Head pose estimation in computer vision: A survey
E Murphy-Chutorian, MM Trivedi - IEEE transactions on pattern …, 2008 - ieeexplore.ieee.org
The capacity to estimate the head pose of another person is a common human ability that
presents a unique challenge for computer vision systems. Compared to face detection and …
presents a unique challenge for computer vision systems. Compared to face detection and …
A survey on vision-based driver distraction analysis
Motor vehicle crashes are great threats to our life, which may result in numerous fatalities, as
well as tremendous economic and societal costs. Driver inattention, either distraction or …
well as tremendous economic and societal costs. Driver inattention, either distraction or …
6d rotation representation for unconstrained head pose estimation
T Hempel, AA Abdelrahman… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In this paper, we present a method for unconstrained end-to-end head pose estimation. We
address the problem of ambiguous rotation labels by introducing the rotation matrix …
address the problem of ambiguous rotation labels by introducing the rotation matrix …
Orientation cues-aware facial relationship representation for head pose estimation via transformer
Head pose estimation (HPE) is an indispensable upstream task in the fields of human-
machine interaction, self-driving, and attention detection. However, practical head pose …
machine interaction, self-driving, and attention detection. However, practical head pose …
Multimodal face-pose estimation with multitask manifold deep learning
C Hong, J Yu, J Zhang, X Jin… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Face-pose estimation aims at estimating the gazing direction with two-dimensional face
images. It gives important communicative information and visual saliency. However, it is …
images. It gives important communicative information and visual saliency. However, it is …
Driver behavior analysis for safe driving: A survey
S Kaplan, MA Guvensan, AG Yavuz… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Driver drowsiness and distraction are two main reasons for traffic accidents and the related
financial losses. Therefore, researchers have been working for more than a decade on …
financial losses. Therefore, researchers have been working for more than a decade on …
NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom
Head pose estimation (HPE) under active infrared (IR) illumination has attracted much
attention in the fields of computer vision and machine learning. However, IRHPE often …
attention in the fields of computer vision and machine learning. However, IRHPE often …
Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey
A Mogelmose, MM Trivedi… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
In this paper, we provide a survey of the traffic sign detection literature, detailing detection
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …
Driver gaze tracking and eyes off the road detection system
Distracted driving is one of the main causes of vehicle collisions in the United States.
Passively monitoring a driver's activities constitutes the basis of an automobile safety system …
Passively monitoring a driver's activities constitutes the basis of an automobile safety system …
Driving style recognition using a smartphone as a sensor platform
DA Johnson, MM Trivedi - 2011 14th International IEEE …, 2011 - ieeexplore.ieee.org
Driving style can characteristically be divided into two categories:“typical”(non-aggressive)
and aggressive. Understanding and recognizing driving events that fall into these categories …
and aggressive. Understanding and recognizing driving events that fall into these categories …