Abstract
There are still significant problems in managing public pedestrian transport areas, even when using closed circuit television (CCTV). This paper describes some image processing techniques suitable for an automatic crowd monitoring system. The feasibility of such system has been studied by investigating the measurement of crowd density and motion. Two methods have been developed to estimate density, whilea motion is measured by grey-level matching. The results obtained by these techniques are comparable to those obtained by human observers, with potential for real-time implementation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
