Head Pose Estimation Based on Perspective Projection Using PTZ Camera

KIPS Transactions on Software and Data Engineering, Vol. 7, No.7, pp.267-274, July 2018
10.3745/KTSDE.2018.7.7.267, Full Text

Abstract

This paper describes a head pose estimation method using PTZ(Pan-Tilt-Zoom) camera. When the external parameters of a camera is changed by rotation and translation, the estimated face pose for the same head also varies. In this paper, we propose a new method to estimate the head pose independently on varying the parameters of PTZ camera. The proposed method consists of 3 steps: face detection, feature extraction, and pose estimation. For each step, we respectively use MCT(Modified Census Transform) feature, the facial regression tree method, and the POSIT(Pose from Orthography and Scaling with ITeration) algorithm. The existing POSIT algorithm does not consider the rotation of a camera, but this paper improves the POSIT based on perspective projection in order to estimate the head pose robustly even when the external parameters of a camera are changed. Through experiments, we confirmed that RMSE(Root Mean Square Error) of the proposed method improve 0.6° less then the conventional method.


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Cite this paper

[KIPS Transactions Style]
K. J. Suh, L. G. Ju, and K. G. Young, "Head Pose Estimation Based on Perspective Projection Using PTZ Camera," KIPS Transactions on Software and Data Engineering, Vol.7, No.7, pp.267-274, 2018, DOI: 10.3745/KTSDE.2018.7.7.267.

[IEEE Style]
Kim Jin Suh, Lee Gyung Ju, and Kim Gye Young, "Head Pose Estimation Based on Perspective Projection Using PTZ Camera," KIPS Transactions on Software and Data Engineering, vol. 7, no. 7, pp. 267-274, 2018. DOI: 10.3745/KTSDE.2018.7.7.267.

[ACM Style]
Suh, K. J., Ju, L. G., and Young, K. G. 2018. Head Pose Estimation Based on Perspective Projection Using PTZ Camera. KIPS Transactions on Software and Data Engineering, 7, 7, (2018), 267-274. DOI: 10.3745/KTSDE.2018.7.7.267.