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Driver Dozing Detection System Using the Near-Infrared Camera Images
Yasue Mitsukura,Hironobu Fukai,Minoru Fukumi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Recently, the research to handle face information with computer is being done. Therefore, how to search the face area automatically is very important. For this problem, there are many problem to get the faces. However these researches are for color image. There are few research using the near-infrared camera,. The purpose of this research is to recognize a face with an near-infrared camera. The face detection that used images from near-infrared camera is comparatively difficult to be don, because they are gray scale images. In this paper, the filter by using GA is designed, and the method of detecting the face and the position from the near-infrared images is proposed. It is demonstratet that our approach is effective for vehicle driver monitoring.
Biped Robot Walking Control using Image Processing
Stephen Karungaru,Masakazu Sugizaki,Minoru Fukumi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, a vision system for controlling an autonomous biped robot is presented. Robots need sensors to understand circumstances. There are several types of sensors. Recently, a camera is rapidly becoming the sensor of choice due to the remarkable improvement in computer technologye specially inprocessing power. However, there is the blurred image problem because of camera shake due to robot’s walking. Our method focuses on the use of image processing to control a human oid robot’s walking. We fixa camera on a biped robot, and input the images from the camera to PC for processing. The results of the image processing are sent to the robot for control immediately. The sereal-time image processing and control systems give us an efficient application on future robots. In the initial experiment the objective is to control robot walking up stairs.
Improving the Robustness of Lips Sensing with Evolutionary Video Processing
Takuya Akashi,Yuji Wakasa,Kanya Tanaka,Minoru Fukumi 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
In this paper, an effective method is proposed for robust lips sensing. Our objectives are high-speed lips tr acking and data acquisition of a talking person in natural scenes. Our approach is based on the Evolutionary Video Processing. This method has a trade-off between accuracy and a processing time. To solve this problem, we proposed automatic Search Domain Control method and implement this method in the Evolutionary Video Processing. The tracking accuracy is improved from 66.3% to 84.9%. The proposed method can recover from occlusion and tracking loss. Comparative experiments are presented to demonstrate the effectiveness and robustness of the proposed method.