论文类型：期刊论文
第一作者：李云廷
通讯作者：张钧
合写作者：胡文文,刘小茂,田金文
发表刊物：Journal of Optical Society of America A: Optics Image Science and Vision
收录刊物：SCI
学科门类：工学
一级学科：光学工程
文献类型：J
卷号：32
期号：1
页面范围：156-163
关键字：Cameras; Machine Vision; Optics; Algorithms; Calibration.
DOI码：10.1364/JOSAA.32.000156
发表时间：2015-01-07
摘要：The pan-tilt (PT) camera is widely used in video surveillance systems due to its rotatable property and low cost. The rough output of a PT camera may not satisfy the demand of practical applications; hence an accurate calibration method of a PT camera is desired. However, high-precision camera calibration methods usually require sufficient control points not guaranteed in some practical cases of a PT camera. In this paper, we present a novel method to online calibrate the rotation angles of a PT camera by using only one control point. This is achieved by assuming that the intrinsic parameters and position of the camera are known in advance. More specifically, we first build a nonlinear PT camera model with respect to two parameters Pan and Tilt. We then convert the nonlinear model into a linear model according to sine and cosine of Tilt, where each element in the augmented coefficient matrix is a function of the single variable Pan. A closed-form solution of Pan and Tilt can then be derived by solving a quadratic equation of tangent of Pan. Our method is noniterative and does not need features matching; thus its time efficiency is better. We evaluate our calibration method on various synthetic and real data. The quantitative results demonstrate that the proposed method outperforms other state-of-the-art methods if the intrinsic parameters and position of the camera are known in advance.