Head Pose Estimation for Car Drivers
نویسندگان
چکیده
Advertising agencies have a growing interest in finding out if roadside advertisements have reached the target audiences. The drivers’ head position’ would enable us to determine if they have been looking at the billboards. Numerous researches were focusing on the drivers’ attention from inside their cars; however, some have tried to determine the interaction between the drivers and outside objects. In this paper, the proposed Head Pose Estimation (HPE) is able to detect drivers’ head motion/position and try to determine if they are looking at the billboard. This information is vital for the Advertising companies for the evaluation of the effectiveness of their advertisements.
منابع مشابه
Deep Head Pose Estimation from Depth Data for In-car Automotive Applications
Recently, deep learning approaches have achieved promising results in various fields of computer vision. In this paper, we tackle the problem of head pose estimation through a Convolutional Neural Network (CNN). Differently from other proposals in the literature, the described system is able to work directly and based only on raw depth data. Moreover, the head pose estimation is solved as a reg...
متن کامل'Owl' and 'Lizard': patterns of head pose and eye pose in driver gaze classification
Accurate, robust, inexpensive gaze tracking in the car can help keep a driver safe by facilitating the more effective study of how to improve (1) vehicle interfaces and (2) the design of future Advanced Driver Assistance Systems. In this paper, we estimate head pose and eye pose from monocular video using methods developed extensively in prior work and ask two new interesting questions. First, ...
متن کاملSituated Language Understanding at 25 Miles per Hour
In this paper, we address issues in situated language understanding in a rapidly changing environment – a moving car. Specifically, we propose methods for understanding user queries about specific target buildings in their surroundings. Unlike previous studies on physically situated interactions such as interaction with mobile robots, the task is very sensitive to timing because the spatial rel...
متن کاملHead Pose Estimation in Seminar Room Using Multi View Face Detectors
Head pose estimation in low resolution is a challenge problem. Traditional pose estimation algorithms, which assume faces have been well aligned before pose estimation, would face much difficulty in this situation, since face alignment itself does not work well in this low resolution scenario. In this paper, we propose to estimate head pose using viewbased multi-view face detectors directly. Na...
متن کاملA Real-Time System for Head Tracking and Pose Estimation
Driver’s visual attention provides important clues about his/ her activities and awareness. To monitor driver’s awareness, this paper proposes a real-time person-independent head tracking and pose estimation system using a monochromatic camera. The tracking and head-pose estimation tasks are formulated as regression problems. Three regression methods are proposed: (i) individual mapping on imag...
متن کامل