基于自适应形状基的公车人员危险行为识别方法  

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

作　　者：常文萃[1] 

机构地区：[1]晋中学院有信息技术与工程学院,山西晋中030600

出　　处：《微电子学与计算机》2014年第10期160-163,共4页Microelectronics & Computer

基　　金：虚实融合场景的快速重建技术(61472010)

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.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 3 d data describing the filtered structural elements ,build the bus staff dangerous action area ,the outline of base according to their shape characteristics compared 3 d behavior 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 .

关 键 词：行为视觉 公车危险行为 特征数据库 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]