A Driver Abnormal Behavior Detection Method Based on Online Behavior Modeling

A detection method and driver's technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of less abnormal behavior, large model problems, and insufficient real data, etc., and achieve less error rate and increased stability sexual effect
CN104504400BInactive Publication Date: 2018-07-17CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
Publication Date
2018-07-17
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a driver abnormal behavior detection method based on online behavior modeling, and belongs to the technical field of image recognition and monitoring. Based on video analysis technology, the method detects the abnormal behavior of the driver by modeling the normal behavior of the driver. It mainly includes the following steps: 1. Initialization, establishing an initial model or updating the existing model; 2. The driver's behavior is extracted; 3. Combining the initial model and the driver's behavior characteristics to judge whether the driver's behavior is normal; 4. Updating the model. The present invention provides a method for detecting abnormal driver behavior based on online behavior modeling, which uses novelty detection to detect abnormal behavior, and adopts a multi-modal modeling method to process various normal behaviors and various abnormal behaviors , supplemented by the method of manual labeling to eliminate false alarms, which increases the stability of the scheme and reduces the error rate of the scheme.
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Description

technical field

[0001] The invention relates to a method for detecting abnormal behavior of a driver, in particular to a method for detecting abnormal behavior of a driver based on online behavior modeling. Background technique

[0002] Vehicle-mounted vision system has become an emerging application direction in the field of image processing and video analysis. The research on abnormal behavior detection of drivers belongs to the field of intelligent transportation and is a key technology of intelligent assisted driving. This technology detects abnormal behavior of drivers and sends out Warning, to avoid traffic accidents, has important application value and social significance.

[0003] At this stage, the research and development in this field in many countries at home and abroad are limited by the characteristics of abnormal behaviors. For example, there are many types of abnormal behaviors, including driver fatigue behaviors such as closing eyes for a long time, yawning,...

Claims

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