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Research of Technique for Driver’s Fatigue Supervising Based on Eye Detecting

Author: HuZhuo
Tutor: JingTao
School: Beijing Jiaotong University
Course: Communication and Information System
Keywords: PERCLOS Face window positioning Eyes Location State judgment COMPONENTS Search
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 375
Quote: 0
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Abstract


Abstract: With the development of the highway and the speed increased, increasing worldwide each year road traffic accidents. According to statistics, 25% -30% of the traffic accidents from driver fatigue driving. Therefore, whether developed a fast, accurate, real-time fatigue driving detection system has become the core issue of the field of intelligent transportation systems. In order to achieve accurate driver fatigue detection, this paper analyzes the mechanism driving fatigue and the current domestic and international driver fatigue detection methods, by analysis and comparison, this choice of a good real-time detection with high accuracy and strong anti-interference PERCLOS detection methods . According to the specific circumstances of the study, the corresponding transformation of PERCLOS detection method: the ratio of the time into the ratio of continuous frames. Key PERCLOS detection method is the accurate positioning of the human eye, and judge the human eye open, and the positioning of the precise positioning of the human eye is face premise. The article first weighted mean method of the color image into a gray image, and then by detecting the speed higher Robert edge detection method determines that the face window, this method can be roughly locate the face, and to improve the detection speed, thereby ensuring the detection of real-time sex. By using black communication chip area search method to search out the number of suspicious communicating zones of the human eye in the the face window region after binarization, and then in these communication area based on the structural characteristics of the human face, such as the human eye in the face window The location of the region, the shape of the human eye conditions such as the size and symmetry of the screening, and ultimately human eye accurate and rapid positioning. The experiments prove its accuracy to 92%, those who wear glasses also have a higher accuracy rate. Based on human eye to detect the development of a set of driver fatigue detection system, the PC and camera system used in a laboratory environment, to achieve the rapid detection of driver fatigue. The system includes: the face image capture, Face Detection, the human eye to detect, the judgment of the state of the human eye as well as the judgment of fatigue. Through experimental verification, that the system can be detected in real time to the driver's eyes, and can efficiently detect the driver's fatigue, fatigue alarm issued simultaneously. The system calculates the high accuracy the fatigue detection accuracy of 80%, to meet the needs of the video information processing. Finally, the main work is summarized and analyzed the issue needs further study in the future.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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