文章基本信息

标题：Image perception hash and structural similarity fusion model for parking lot status recognition
本地全文：下载
作者：Zhi-Fa Yang ; Huan-Jing Zeng ; Shi-Wu Li 等
期刊名称：Cogent Engineering
电子版ISSN：2331-1916
出版年度：2019
卷号：6
期号：1
页码：1-9
DOI：10.1080/23311916.2019.1669390
出版社：Taylor and Francis Ltd
摘要：In order to improve the recognition accuracy of parking space change, a new fusion model is proposed. The image-aware hash technique and image structure similarity algorithm are combined to construct a new parking space state combination discriminating index due to the accuracy of the recognition. Time is used to define the discriminating threshold of the parking space occupancy condition, so as to construct a vehicle position state discriminating fusion model. Based on the model, the parking lot recognition software was developed, and the parking space recognition of three environmental states, such as uniform illumination, uneven illumination and snowfall, was carried out and the validity of the model was verified..
关键词：parking detection; image perceptual hashing; structural similarity; fusion model; discriminant index