Video Surveillance Based on Cloud Storage
Daniel A. Rodríguez‐Silva, Lilian Adkinson-Orellana, F.J. Gonz'lez-Castano, I. Armino-Franco, D. Gonz'lez-Martinez · 2012
Traditional video surveillance systems require infrastructures including expensive servers with capabilities to process images and store video recordings. These surveillance systems produce and need to store a huge amount of data and to execute on them specific image analysis in real-time in order to detect safety events. We propose a video surveillance system based on Cloud Computing that collects multimedia streams generated by surveillance cameras, optimizes their transmissions according to network condition and stores them in a cloud storage system in an efficient and secure way.