Abstract
Based on the current situation of passenger flow in Guangzhou Metro, this paper summarizes the shortcomings and possible risks of passenger transport organization. And after analyzing the current main methods of monitoring crowd density, and the crowd density detection algorithm in video surveillance and subsequent video processing, this paper proposes a crowd density classification method based on frame difference method with its application direction, which optimizes the existing subway station crowd control measures as well as helps subway station operators accurately identify the stage of crowd density in real time and take crowd control measures in time.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: DEStech Transactions on Computer Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.