Abstract
Video surveillance systems are becoming increasingly popular due to the emergence of high-speed wireless Internet (such as WiMax and LTE), bandwidth-efficient video compression schemes (such as H.264), and low-cost (and high-resolution) IP video cameras. This paper presents two applications of an advanced surveillance system, specifically in suspicious activity detection and human fall detection, for both indoor and outdoor environments. The implemented prototype captures and analyzes live high-definition (HD) video that is streamed from a remote camera. We will show that by combining the strengths of ellipse modeling and shadow removal, and other novel algorithms, the false alarms in the detection can be significantly reduced.
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.
