Paper
13 January 2012 A practical real-time detection visual system for driver's eye closure state tracking
Tong Zhan, Zheng-ming Li, Jin Zhang
Author Affiliations +
Abstract
We use an onboard computer and a smart webcam built a practical real-time detection visual system. Installed in a driving cabin in a specific way, it is able to determine the degree of closure of the driver's eyelids for further study of detecting and mitigating driver drowsiness and fatigue. For a practical real-time application, both the temporal resolution and the image resolution of video processing are key performances. Instead of the traditional video processing strategy which detects face in the first frame and keep tracking in the following, a frame-by-frame detecting and locating strategy is adopted, which firstly locates face region in a size-reduced image, secondly face region in original image is located by linear mapping calculation, thirdly eye region is located in face region according to the characteristics of a facial geometric model, this model allows personal calibration intuitively in run-time according to different individuals. A novel combination of several practical methods proved effective in computer vision is proposed, including capturing and resizing frames, face and eye localization, adaptive-threshold segmentation, mathematical morphology etc. Experiments show that the proposed system achieves a performance of image resolution of 640×480 pixels, temporal resolution of 53 frames / second, average eye-blink detection accuracy of 96% under various illumination conditions.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tong Zhan, Zheng-ming Li, and Jin Zhang "A practical real-time detection visual system for driver's eye closure state tracking", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83491S (13 January 2012); https://doi.org/10.1117/12.920976
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Cited by 1 scholarly publication.
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KEYWORDS
Eye

Image segmentation

Cameras

Image resolution

Visual system

Eye models

Video

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