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http://dx.doi.org/10.7837/kosomes.2014.20.5.564

A Detection System of Drowsy Driving based on Depth Information for Ship Safety Navigation  

Ha, Jun (Department of Electronic Engineering, Mokpo National Maritime University)
Yang, Won-Jae (Division of Maritime Transportation System, Mokpo National Maritime University)
Choi, Hyun-Jun (Department of Electronic Engineering, Mokpo National Maritime University)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.20, no.5, 2014 , pp. 564-570 More about this Journal
Abstract
This paper propose a method to detect and track a human face using depth information as well as color images for detection of drowsy driving. It consists of a face detection procedure and a face tracking procedure. The face detection procedure basically uses the Adaboost method which shows the best performance so far. But it restricts the area to be searched as the region where the face is highly possible to exist. The face detected in the detection procedure is used as the template to start the face tracking procedure. The experimental results showed that the proposed detection method takes only about 23 % of the execution time of the existing method. In all the cases except a special one, the tracking error ratio is as low as about 1 %.
Keywords
Color image; Depth-map; Drowsiness detection; Face detection; Safe navigation;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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