Peripheral visual field danger identification method based on human vision and machine vision coupling

A machine vision and human vision technology, which is applied in the processing field of the peripheral vision area of ​​the front view of driving, can solve the problems of danger identification in the peripheral vision, and achieve the effect of reducing the scope of image recognition, strengthening monitoring, and improving efficiency.

Active Publication Date: 2018-08-24
WUHAN UNIV OF TECH
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Problems solved by technology

[0005] Aiming at the problem of peripheral vision hazard identification in the driver's driving process in the prior art, the present invention provides a peripheral vision hazard identification method based on the coupling of human vision and machine vision

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  • Peripheral visual field danger identification method based on human vision and machine vision coupling
  • Peripheral visual field danger identification method based on human vision and machine vision coupling
  • Peripheral visual field danger identification method based on human vision and machine vision coupling

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Embodiment Construction

[0068] The present invention will be further described below with reference to the drawings and specific embodiments, but the protection scope of the present invention is not limited to this.

[0069] The present invention proposes a peripheral visual field danger recognition method based on the coupling of human vision and machine vision, which includes: first obtaining driver eye movement data according to an eye tracker experiment, and extracting a coordinate point area reflecting the driver's gaze type as gaze. Then the camera image is divided into 3 standard areas based on the principle of human eye imaging, the driver's gaze point area is compared with the standard divided area, and the standard divided area to which the gaze point area belongs is eliminated. Finally, the remaining two standard division areas are processed in accordance with the priority, to identify whether the object is moving and to determine whether the object is dangerous to the vehicle.

[0070] See fi...

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Abstract

The invention discloses a peripheral visual field danger identification method based on human vision and machine vision coupling. The method is characterized by firstly, according to an eye tracker experiment, acquiring driver eye moving data, and extracting a coordinate point area reflecting that a driver visual line type is stare; then, carrying out three standard area division based on human eye imaging principle on a camera image, comparing a driver stare point area with standard division areas, and removing the standard division area where the stare point area belongs; and finally, processing the two remaining standard division areas according to a priority, and identifying whether an object is moving and determining whether the object is dangerous to a vehicle. A multi-target dangeridentification problem in the front visual field of a driver is solved, an image identification range is reduced; and priority processing is performed on the peripheral visual field area, the monitoring of a key area is reinforced, and real time image processing efficiency is increased.

Description

Technical field [0001] The present invention relates to the technical field of driver assistance safety and automobile active safety, in particular to a processing method for the peripheral field of vision in front of a vehicle. Background technique [0002] Road traffic is a crisscross and intricate system. Only when the three major parts of the system are coordinated and coordinated with each other can they operate effectively. Motor vehicle drivers are the information hub of the human-vehicle-road system. All traffic accidents caused by human-related factors account for more than 90% of the total. Drivers get the most information through their eyes, and the proportion is actually as high as 80%. People can only selectively process the information in the visual field, which is called visual selective attention. In a natural driving state, motor vehicle drivers have different attention mechanisms to stimuli located in the central field of vision and peripheral field of vision,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/16G06K9/00G06K9/62
CPCG08G1/166G06V40/18G06V20/56G06F18/253
Inventor 曾娟胡昶张洪昌
Owner WUHAN UNIV OF TECH
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