Hand tracking based safe driving detection method

A detection method and safe driving technology, applied in computer components, input/output process of data processing, input/output of user/computer interaction, etc., can solve the problems of non-universal accuracy and reliability, and achieve Enhanced real-time performance, reduced complexity, and better accuracy

Inactive Publication Date: 2016-03-16
SHANDONG UNIV
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Problems solved by technology

[0008] The fatigue driving detection technology based on PERCLOS does not take into account the limitations of detection conditions and the influence of complex environments. Since each individual has different degrees of eye opening and closing unde...

Method used

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  • Hand tracking based safe driving detection method
  • Hand tracking based safe driving detection method
  • Hand tracking based safe driving detection method

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Embodiment Construction

[0033] The safe driving detection method based on hand tracking of the present invention, such as figure 1 shown, including steering wheel detection and hand tracking.

[0034] see figure 1 , the specific implementation steps of steering wheel detection are as follows:

[0035] ① Install a camera on the top of the car cab to capture the original image A, and try to make the steering wheel of the car at the center of the image;

[0036] ② Perform histogram equalization processing on the original image A to obtain the image B;

[0037] ③According to the image B obtained in step ②, the image C is obtained after the open operation processing is performed on the image B;

[0038] ④ According to the image C obtained in step ③, use the Canny operator to detect the edge of the image;

[0039] ⑤ Process according to the edge map in step ④ to obtain edge image D;

[0040] ⑥ According to the edge image D obtained in step ⑤, use Hough transform to detect the largest circle in the ima...

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Abstract

The present invention provides a hand tracking based safe driving detection method. The method comprises: first, performing a steering wheel detection: performing histogram equalization, an opening operation, contouring drawing and hough circle detection successively on an original image of the steering wheel located at a center position, and accurately detecting position coordinates of the steering wheel; then performing hand tracking: performing tracking and positioning on a hand region of a driver by adopting a template matching method, and further determining whether the driver drives properly by detecting whether hands move near the steering wheel; if no change of hand coordinates is found for a long time during a detecting process, determining that the driver is in a fatigue driving state; and if two hands of the driver are detected beyond a range of the steering wheel for a long time or can not be detected, determining that the driver is in a dangerous driving state. According to the method provided by the present invention, whether the driver drives safely is determined by a motion region of hands during safe driving, and fatigue driving, nonstandard operation and drunk driving can be detected and the reliability of safe driving detection is improved.

Description

technical field [0001] The invention relates to a method for detecting driving safety. Specifically, the driving state of the driver is obtained by judging whether the hand moves in the active area of ​​safe driving, and an early warning is issued for the behavior that does not conform to the safe driving, so as to improve the driving performance. The safety of the invention belongs to the technical field of hand detection and tracking in the safe driving of automobiles. Background technique [0002] Due to the high incidence of traffic accidents, the need for monitoring systems for safe driving is becoming more and more urgent. How to achieve efficient and accurate detection of driving status has always been a research hotspot and difficulty in the field of safe driving. [0003] The existing safe driving detection is based on the fatigue driving detection technology of PERCLOS. [0004] In the field of computer vision, the detection of the driver's fatigue state is often...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F3/01
CPCG06F3/017G06V40/28G06V20/597
Inventor 元辉李梦宇付华勇孙真真
Owner SHANDONG UNIV
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