期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2020
卷号：11
期号：2
页码：161-167
DOI：10.21817/indjcse/2020/v11i2/201102109
出版社：Engg Journals Publications
摘要：As artificial intelligence technology advances, studies are actively being conducted on techniques for detecting objects spatially. This paper presents a quadtree-based spatial object search scheme that quickly stores approximations of the distributions of objects that are detected by various methods. The proposed method divides a single space into 4 spaces and finds the distribution of objects in order to obtain quadtree results that are used to understand the approximate distribution of the objects and to calculate their area. The results can be used for robot vision, in which it must be possible to distinguish the locations of obstacles in real time, or for finding areas where fires occur. In this paper, a quadtree-based spatial search algorithm is implemented, and the actual implementation is verified.
