Automobile Driving Interface Based on Hand Trajectory Recognition

A. Reshetnev, A. Vavilin, Taeho Kim, K. Jo
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Abstract

In this paper, we propose auto-driving method for automobile by recognition of hand trajectory. The method consists of three main steps: hand detection, wheel detection and recognition. On the step of hand detection we extract hand from image by color model. From this step we get candidate for skin regions. The wheel detection consists of edge detection, Hough transform and wheel detection which uses mean shift algorithm. The last step in our method is recognition of hand position. The result is recognition of hand position on the wheel and rotation angle of the wheel.
基于手部轨迹识别的汽车驾驶界面
本文提出了一种基于手部轨迹识别的汽车自动驾驶方法。该方法包括三个主要步骤:手检测、车轮检测和识别。在手的检测步骤中,我们利用颜色模型从图像中提取手。从这一步我们得到候选的皮肤区域。车轮检测包括边缘检测、霍夫变换和采用均值移位算法的车轮检测。我们方法的最后一步是手的位置识别。结果是识别手在车轮上的位置和车轮的旋转角度。
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