Comparing Fixed Simple Value and Controlling Value in Otsu’s Method for Outdoor Detection of Stationary Object

Abstract

Most of the time the destruction is performed by using the stationary objects like a timer bomb, explosives etc. A smart surveillance system can automatically detect stationary objects in public places. It has been used in many places such as bust stops, train stations, crowded places, and popular buildings, warehouses, shipping malls, common sidewalks or airports. In the proposed system, the stationary object observation is developed for monitoring system. The system input is recorded data video files, in order to detect the stationary object in outdoor lighting by controlling and modifying image intensity value in system preprocessing and then calculate and choose the dynamic threshold value over the input image intensity value for Otsu’s method. In the system preprocessing, there are in order to search and detect indoor, outdoor, day lighting in fewer errors by controlling the brightness intensity value of images. The color image processing and morphological operation are performed to get more structural elements of foreground objects in system preprocessing.