Abstract
Video surveillance systems are very important in oureveryday life. Video surveillance applications are used in airports, banks, offices and even our homes toremain us secure. Night vision is the ability to see in low light conditions. Surveillance video may not be seen clearly. Especially under the weakillumination conditions. The details of the image are very poor at night. Most of the previous work has focused on daytime Surveillance. This paper proposes a method of Human detection in hours of darkn ess (night time) using Gaussian Mixture Model(GMM) in real night environment employing an infrared radiation camera. Infrared video is taken as Input to perform Human detection at night.Then the video was processed using Gaussian mixture model algorithm, it was confirmed thatby using this methodaccurate detection of human at night is possible.
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 callMore From: International Journal of Information Sciences and Techniques
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.
