A Bus Staff risk Behavior Recognition Method Based on Adaptive Shape Based

CHANG Wen-cui

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A Bus Staff risk Behavior Recognition Method Based on Adaptive Shape Based

更新时间：2026-09-04

- A Bus Staff risk Behavior Recognition Method Based on Adaptive Shape Based
- Vol. 31, Issue 10, Pages: 160-163(2014)
- 作者机构：
  
  晋中学院机构有信息技术与工程学院,山西,晋中,030600
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
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常文萃. 基于自适应形状基的公车人员危险行为识别方法[J]. 微电子学与计算机, 2014, 31(10): 160-163.

CHANG Wen-cui. A Bus Staff risk Behavior Recognition Method Based on Adaptive Shape Based[J]. 2014, 31(10): 160-163.
常文萃. 基于自适应形状基的公车人员危险行为识别方法[J]. 微电子学与计算机, 2014, 31(10): 160-163. DOI：

CHANG Wen-cui. A Bus Staff risk Behavior Recognition Method Based on Adaptive Shape Based[J]. 2014, 31(10): 160-163. DOI：

摘要

提出基于一种改进的行为视觉识别算法

并且应用到公车人员危险动作检测中

依据视觉识别的目标检测结果

运用动态形状基描述过滤后的三维数据结构元素

构建公车上人员危险动作的轮廓区域

根据形状基特征对比检测相关人员三维行为特征数据库

实现公车上人员危险性动作的智能检测.仿真实验结果表明

采用所提方法对公车上人员的危险行为进行检测

得到的结果具有更高的准确性与有效性.

Abstract

Based on the behavior of an improved visual recognition algorithm

and applied to the bus staff dangerous motion detection

based on visual identification results of target detection using dynamic shape of the 3ddata describing the filtered structural elements

build the bus staff dangerous action area

the outline of base according to their shape characteristics compared 3dbehavior characteristic database related personnel

personnel risk action implementation bus intelligent detection.The simulation results show that the proposed method performs dangerous behavior of the personnel on the car for testing

the result has higher accuracy and effectiveness.

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