학술논문

Research on unsafe behaviors of operators based on behavior subject and object
Document Type
Conference
Source
2021 6th International Symposium on Computer and Information Processing Technology (ISCIPT) ISCIPT Computer and Information Processing Technology (ISCIPT), 2021 6th International Symposium on. :811-815 Jun, 2021
Subject
Computing and Processing
Industries
Shape
Object detection
Feature extraction
Safety
Computers and information processing
Complexity theory
unsafe behavior
operators
salient target detection
optical flow
subject and object of behavior
Language
Abstract
Exploring the law of unsafe behavior of operators is helpful to prevent accidents. At present, research on industry operation mainly focuses on what factors affect the operation safety and how these factors affect operation safety, and most of them are for a certain type of industry operation. Operation behavior of operators is analyzed for multiple types of work. By studying subject and object of behavior, the law of unsafe behavior of operators is obtained. Firstly, the salient object detection model is used to separate and extract behavior subject and object. Then, the optical flow is used to obtain motion feature of subject and object, and shape feature of subject is obtained based on a saliency graph. Through analysis of obtained features, it is found that for industry operation behavior with simple actions, gentle speed, and small range of motion, and the target speed variation features can be used to distinguish safe behavior and unsafe behavior. This study can help to find the unsafe behaviors of operators in time, prevent accidents, and provide a reference for identification of unsafe behaviors of operators.