期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2015
卷号：6
期号：6
页码：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper describes a novel method for tracking customers using images taken from video-surveillancecameras. This system analyzes the number of customers and their motions through the aisles of big-boxstores (supermarkets) in real-time. The originality of our approach is based on the study of the blobsproperties for managing the splitting/merging issues using a mathematical morphology operator. In theorder hand, in order to manage a high number of customers in real-time, we combine the advantage of twotracking algorithms.
