Intelligent Surveillance System For Motion Detection Using Raspberry Pi

Abstract

Motion detection is one of the key techniques for automatic video analysis to extract crucial information from scenes in video surveillance systems. The method of foreground and background detection start from second frame onwards it employs new object tracking method which detects and remove ghost objects rapidly while preserving abandon objects from decomposing into background. It mainly focuses to improve motion detection based on Low Computing system. This research project is carried out to determine some of the basic human motion detection algorithm that had been founded or developed or even researched in past. As, the report is mainly aimed for the readers that the architecture of a human motion detection system in applications. Also in recent years, Ambient Intelligence has attracted a number of researchers due to the widespread diffusion of unobtrusive sensing devices. Thus, the availability of acquired data has driven the interest of the scientific community in producing novel methods for combining raw measurements in order to understand what is happening in the monitored scenario.
DOI: 10.17762/ijritcc2321-8169.150585