CAJ | 학술논문

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。
침대지능보조가사계통중취부근종정위수요만족실시성、준학성등문제，본문제출일충추종병정위취부적방법。해방법파정위분위추종화목표검측량개부분。재추종계단，통과확산추종범위，이용압축추종적로봉성，개진학습인자경신궤제，실현료장시간추종；재검측화정위부분，충분고필도료불동인취부，불동표정적구별，사용Adaboost산법，체도료보조가사계통중소요구적준학성。령외，압축강유，급련분류기적인입，사득쾌속성야득도료보증。실험결과표명，가이완성재보조가사계통중적응용，유교강적실제의의。
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.