Designing interface and integration framework for multi-channels intelligent surveillance system
Wahyono Wahyono, Alexander Filonenko, Kang-Hyun Jo · 2016
This paper addresses design and implementation of a multi-channels intelligent surveillance system (ISS). The system is developed for handling multiple source data from four different camera networks. It processes the incoming frames simultaneously using a multi-threading strategy and automatically detect any suspicious event on the monitoring area. Different with the existing commercial systems, the ISS covers several different surveillance tasks in ensuring a public safety such as unattended object detection, fire and smoke detection, human detection and tracking, sterile zone monitoring, and illegally parked vehicle detection. Each individual task is implemented separately using advanced image processing and pattern recognition algorithms. The system combines these all surveillance tasks considering not only a high accuracy, but also a fast processing time.