智能辅助驾驶系统中嘴部定位方法

胡少凯; 刘子龙; 蒋辰飞

doi:doi:10.3969/j.issn.1003-501x.2013.09.015

光电工程, 2013, 40 (9): 88, 网络出版: 2013-09-17

智能辅助驾驶系统中嘴部定位方法

Detection and Localization of the Mouth in an Intelligent Driver Assistance System

论文大纲

胡少凯 ^*刘子龙蒋辰飞

作者单位

上海理工大学光电信息与计算机工程学院, 上海 200093

辅助驾驶系统嘴部定位跟踪 intelligent driver assistance system localization of the mouth tracking Adaboost Adaboost

摘要

针对智能辅助驾驶系统中嘴部跟踪定位需要满足实时性、准确性等问题, 本文提出一种追踪并定位嘴部的方法。该方法把定位分为追踪和目标检测两个部分。在追踪阶段, 通过扩散追踪范围, 利用压缩追踪的鲁棒性, 改进学习因子更新机制, 实现了长时间追踪; 在检测和定位部分, 充分考虑到了不同人嘴部, 不同表情的区别, 使用 Adaboost算法, 达到了辅助驾驶系统中所要求的准确性。另外, 压缩降维, 级联分类器的引入, 使得快速性也得到了保证。实验结果表明, 可以完成在辅助驾驶系统中的应用, 有较强的实际意义。

Abstract

To satisfy rigid performance specifications of real-time and accuracy while tracking and locating mouth region in an intelligent driver assistance system, a new method is proposed. The idea is implemented with two steps, tracking and target detection. In the tracking part, by making a diffusion of tracking range, and optimize process of update learning factor to achieve long time tracking; In detection and positioning section, fully taking the difference of each human mouth and different expressions into account, the accuracy required in the auxiliary driving system is achieved by use of Adaboost algorithm. In addition, through the introduction of compressed sensing and cascade classifier, rapidness is also guaranteed. Experimental results show that the method can reach the target while it is applied in driver assistance system. It is a strong significance of practical application.

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胡少凯, 刘子龙, 蒋辰飞. 智能辅助驾驶系统中嘴部定位方法[J]. 光电工程, 2013, 40(9): 88. HU Shaokai, LIU Zilong, JIANG Chenfei. Detection and Localization of the Mouth in an Intelligent Driver Assistance System[J]. Opto-Electronic Engineering, 2013, 40(9): 88.

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