Hand-based driving illegal behavior detection method

Abstract

The invention discloses a hand-based driving illegal behavior detection method, which comprises the following steps: reading images from a monitoring video; carrying out pretreatment on the read image, wherein the pretreatment comprises format change, establishment of an ellipse skin color model and determination of skin color probability values of pixel points; detecting and positioning a hand contour from the images obtained after pretreatment; with a steering wheel being the center, defining five regions of interest, and carrying out coordinate division on the defined regions; judging whether hand gestures are illegal driving behaviors by judging whether the hand contour locates in a center region of the steering wheel; carrying out hand pixel information preliminary determination by establishing the ellipse skin color model and utilizing logistic regression analysis; carrying out connected region analysis and labeling through a region growing method, and extracting hand skin color images and obtaining a complete hand image; and dividing the image into five regions of interest, so that whether operation in a driving cab is illegal can be judged accurately.

Description

technical field [0001] The invention relates to the field of traffic information control and driving behavior monitoring and early warning technology, in particular to a detection method for hand-driving violations. Background technique [0002] With the rapid development of social economy, automobiles have become more and more common in our lives. While bringing convenience to people's lives, they have also brought a large number of traffic accidents and caused huge losses to human society. Driver's bad driving habits are the main cause of accidents. Therefore, judging the driver's illegal driving behavior has received more and more attention from all walks of life. The current judgment methods mainly include: using sensor information fusion method for data collection, and realizing driving behavior judgment by establishing a driving model. Based on the detection method of vehicle behavior, when the vehicle deviates from the driving route, the system will capture the info...

AI Technical Summary

Problems solved by technology

Finally, the neural network and Bayesian network classifier are used to classify and recognize the recognized hand gesture trajectory to identify whether the hand gesture belongs to illegal driving. However, the above scheme does not include the surrounding area of ​​interest centered on the steering wheel It is subdivided into five areas, so it will be vague when judging whether the driving operation is illegal, and sometimes misjudgment will occur

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