Abstract：To avoid the nonstandard safety belt wearing and improve the wearing rate of safety belt, the recognition method of safety belt wearing was proposed based on GA-BP. The binarized image pixel values from safety belt polar coordinates were extracted by image processing technique as characteristic vector to represent the safety belt wearing state, and the dimension was reduced by PCA method. The BP neural network algorithm was used to establish recognition model of safety belt wearing. To improve the accuracy of recognition model, the genetic algorithm was used to optimize weighted value and threshold value, and the recognition model of safety belt wearing was also built based on GA-BP. The proposed models were verified by practical examples. The results show that the method is reasonable and effective, and can be used to recognize different wearing states of safety belt with good applicability.
葛如海, 胡满江, 张学荣, 苏清祖. 基于GA-BP的安全带佩戴识别方法[J]. 江苏大学学报（自然科学版）, 2014, 35(2): 125-131.
Ge Ruhai, Hu Manjiang, Zhang Xuerong, Su Qingzu. Recognition method of safety belt wearing based on GA-BP[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2014, 35(2): 125-131.
2014, Vol. 35 
