@techreport{oai:ipsj.ixsq.nii.ac.jp:00083693,
 author = {村上, 公威 and 黒岩, 孝 and 松原, 三人 and Kimitake, Murakami and Takashi, Kuroiwa and Mitsuhito, Matsubara},
 issue = {7},
 month = {Sep},
 note = {Recently, a number of traffic accidents have occured by safety unchecking according to inattentive driving. It is necessary to previously the traffic accident. Therefore, it is required that the change of facial expression and pose of the driver is watched. This paper describes a method for detecting a change of facial expression and pose of a driver using fractal analysis of facial image. We proposed a method using image feature distances defined fracrtal sequence. The usefulness method is clarified., Recently, a number of traffic accidents have occured by safety unchecking according to inattentive driving. It is necessary to previously the traffic accident. Therefore, it is required that the change of facial expression and pose of the driver is watched. This paper describes a method for detecting a change of facial expression and pose of a driver using fractal analysis of facial image. We proposed a method using image feature distances defined fracrtal sequence. The usefulness method is clarified.},
 title = {車載カメラからの顔画像のフラクタル解析と表情の変化の検出},
 year = {2012}
}