Now showing items 1-2 of 2
Learning algorithms for anomaly detection from images
(© 2017 IGI Global, 2016-08-30)
Visual surveillance networks are installed in many sensitive places in the present world. Human security officers are required to continuously stare at large numbers of monitors simultaneously, and for lengths of time at ...
Automated intruder detection from image sequences using minimum volume sets
(© 2012 International Journal of Communication Networks and Information Security, 2012)
We propose a new algorithm based on machine learning techniques for automatic intruder detection in visual surveillance networks. The proposed algorithm is theoretically founded on the concept of Minimum Volume Sets. Through ...