Traffic Sign Recognition based on Vision Bionics

摘要：

　　Inspired by the research of human visual system in neuroanatomy and psychology, the paper proposes an road traffic sign identification model based on vision bionics.The model combines data-driven and task-driven visual attention mechanism to focus on traffic sign target rapidly and accuractly.Firstly, It simulates the Itti attention model to obtainwhat information and uses the priori knowledge of positional distribution of traffic sign as where information.Then,it adjusts saliency map according to what and where stream so as to select traffic sign focus preferentially.Secondly, it measures the similarity of shape and color features between traffic sign and attention region to get interested region.Finally, it segments traffic sign based on color characteristics and classify shape of traffic sign based on the Support Vector Machine method.The experimental results demonstrate that the feasibility and effectiveness of the proposed model; Furthermore, the average accuracy rate of shape classification on DtBs matrix reaches 98%.

关键词： traffic sign recognition vision bionics selective attention SVM

作者: Zhuo Zhang Xinnan Fan Xuewu Zhang Ruiyu Liang Shanming Lin

作者单位: Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology,Hohai University,Nanjing210098,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 746-751

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）