基于相似形状搜索视障人士的交通灯检测

2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2015-11-01 DOI:10.1109/ICICIP.2015.7388200

Jie Ying, Jinzhang Tian, Lei Lei

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引用次数: 4

摘要

为帮助视障人士过马路，提出了一种环形交通灯检测与识别的新方法。采用相似的圆形和矩形形状检测与强度分析相结合的方法对候选交通灯进行定位。利用HSI颜色空间中光区颜色分布和交通灯的形状特征实现交通灯的颜色识别。对视频序列的识别结果进行分析，给出语音提示。实验结果表明，该红绿灯检测识别方法识别率高达98%，帧处理速度为0.09s，满足实时性要求。

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Traffic light detection based on similar shapes searching for visually impaired person

A new method of circular traffic light detection and recognition was proposed for the visually impaired person to help them cross the road. Similar circular and rectangular shapes detection combined with the intensity analysis was used to locate the candidate traffic lights. And traffic light color recognition was realized using color distributions of the light area in HSI color space and shape features of the lamp. Voice prompt was given after analyzing the recognition results of video sequences. Experimental results showed that the traffic light detection and recognition method has high recognition rate of 98%, and the frame processing speed was 0.09s, which met the real-time requirements.

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来源期刊

2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)

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