A real time abandoned object detection hardware approach

Most of the bomb blast was done with the help of abandoned objects, so effective and efficient detection and Real time localization of abandoned objects is very important to prevent attacks. This paper presents an effective hardware implementation approach or Abandoned Object Detection in video surveillance. We had combined long term and short term background model for foreground extraction. Change detection is done with the help of fuzzy clustering using log ratio and mean ratio operators. In proposed system SVM classifier is used to classify detected static object and its location is traced by GPS, further alter process is handled by embedded module. Overall communication is done through Internet of Things (IoT).