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.
