Extracting Driver’s Facial Features During Driving

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Title:	Extracting Driver’s Facial Features During Driving
Authors:	周菡苹 Chou, Hanping
Contributors:	資訊管理學系 Information Management
Keywords:	人臉偵測;粒子濾波器;均值濾波器駕駛輔助系統;瞌睡偵測 Adaboost detection;mean shift;particle filter;drowsiness determination
Date:	2011
Issue Date:	2014-06-27 01:23:12 (UTC+8)
Abstract:	使用攝影機，偵測駕駛者臉部特徵的監測系統。系統運作主要包括兩個部份，在第一部份中，駕駛者臉部會先被定位出來，然後在之後的影像序列中持續追蹤其位置。在第二部份中，則在臉部範圍中定位臉部特徵，包括眼睛、嘴巴、及臉部面向。在定位出臉部特徵位置後，同樣以追蹤的方式在之後的影像序列中找到其位置。利用追蹤預測及偵測確認，使駕駛者的臉部特徵可以較有效率的被擷取出來。未來，可以由臉部特徵所計算出來的資訊，來評斷駕駛者的精神狀態，以保障行車安全。 Abstract—In this paper, a vision system for monitoring driver’s facial features is presented. To begin, the driver’s face is first located in the input video sequence. It is then tracked over the subsequent images. The facial features of eyes, mouth and h
Appears in Collections:	[Department of Information Management] Seminar Papers

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