A Study of Pedestrian Crossing and Signal Recognition using Machine Vision

• Main Authors: Jin-Wei Liang, 梁晉瑋
• Other Authors: 吳明川
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/hm7ws5

碩士 === 國立臺北科技大學 === 機電整合研究所 === 98 === Because of visually handicapped pass through the road, they often use vehicles'' sound and Audible pedestrian signal as the judgment, but because loudspeaker and pedestrian''s sound’s disturbance, it’s easy to affect visually handicapped judgment, therefore this paper uses machine vision to develop a auxiliary system for the visually handicapped to recognize Pedestrian Crossing and Pedestrian Signal, providing road’s information to help visually handicapped pass through the road safely. This paper first transfers RGB color model to HSV color model, and uses Gaussian mixture model to detect Pedestrian Crossing and Pedestrian Signal’s color, and then uses region mark to detect possible location, finally uses Snake model and Correlation Coefficient to recognize Pedestrian Crossing and Pedestrian Signal, by Experimental results we know the system can recognize when Pedestrian Crossing have ﾟ revolving and Pedestrian Signal in different environments.