An accurate and fast driver's head pose estimation is a rich source of information, in particular in the automotive context. Head pose is a key element for driver's behavior investigation, pose analysis, attention monitoring and also a useful component to improve the efficacy of Human-Car Interaction systems. In this paper, a Recurrent Neural Network is exploited to tackle the problem of driver head pose estimation, directly and only working on depth images to be more reliable in presence of varying or insufficient illumination. Experimental results, obtained from two public dataset, namely Biwi Kinect Head Pose and ICT-3DHP Database, prove the efficacy of the proposed method that overcomes state-of-art works. Besides, the entire system is implemented and tested on two embedded boards with real time performance.

Embedded Recurrent Network for Head Pose Estimation in Car / Borghi, Guido; Gasparini, Riccardo; Vezzani, Roberto; Cucchiara, Rita. - (2017). ((Intervento presentato al convegno IEEE Intelligent Vehicles Symposium tenutosi a Redondo Beach CA, USA nel June 11-14.

Embedded Recurrent Network for Head Pose Estimation in Car

BORGHI, GUIDO;GASPARINI, RICCARDO;VEZZANI, Roberto;CUCCHIARA, Rita
2017-01-01

Abstract

An accurate and fast driver's head pose estimation is a rich source of information, in particular in the automotive context. Head pose is a key element for driver's behavior investigation, pose analysis, attention monitoring and also a useful component to improve the efficacy of Human-Car Interaction systems. In this paper, a Recurrent Neural Network is exploited to tackle the problem of driver head pose estimation, directly and only working on depth images to be more reliable in presence of varying or insufficient illumination. Experimental results, obtained from two public dataset, namely Biwi Kinect Head Pose and ICT-3DHP Database, prove the efficacy of the proposed method that overcomes state-of-art works. Besides, the entire system is implemented and tested on two embedded boards with real time performance.
IEEE Intelligent Vehicles Symposium
Redondo Beach CA, USA
June 11-14
Borghi, Guido; Gasparini, Riccardo; Vezzani, Roberto; Cucchiara, Rita
Embedded Recurrent Network for Head Pose Estimation in Car / Borghi, Guido; Gasparini, Riccardo; Vezzani, Roberto; Cucchiara, Rita. - (2017). ((Intervento presentato al convegno IEEE Intelligent Vehicles Symposium tenutosi a Redondo Beach CA, USA nel June 11-14.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1128286
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