Publication Type:

Journal Article

Source:

IEEE Transactions on Intelligent Transportation Systems, Institute of Electrical and Electronics Engineers Inc., Volume 99, p.1-13 (2014)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84907512418&partnerID=40&md5=aba6f4051868402b30082c2e3cc0e7be

Keywords:

Driver monitoring system, Face models, Gaze estimation

Abstract:

Accurate head yaw estimation is necessary for detecting driver inattention in forward collision warning systems. In this paper, we propose three geometric models under the ellipsoidal framework for accurate head yaw estimation. We present theoretical analysis of the cylindrical and ellipsoidal face models used for yaw angle estimation of head rotation. The relationship between cylindrical, ellipsoidal, and proposed models is derived. We provide error functions for all models. Furthermore, for each model, over/under estimation of angle, zero crossings of error, bounds on yaw angle estimate, and bounds on error are presented. Experimental results of the proposed models on four standard head pose data sets yielded a mean absolute error between 4° and 8° demonstrating the efficacy of the proposed models over the state-of-the-art methods.

Notes:

cited By (since 1996)0

Cite this Research Publication

Aa Narayanan, Kaimal, R. Mb, and Bijlani, Kc, “Yaw estimation using cylindrical and ellipsoidal face models”, IEEE Transactions on Intelligent Transportation Systems, vol. 99, pp. 1-13, 2014.