EVENT TRIGGERING WITH CRISP SET USING IMAGES OF SURVEILLANCE SYSTEMS

Observing moving objects using
far field’s video surveillance is core areas of
research in computer vision. Similar
application also can be found in surveillance
systems and traffic monitoring applications.
This paper presents implementing of crisp set
technique on video images in order to evaluate
moving objects in far field’s surveillance
systems. One main objective is to create an
event trigger if the scene is active. The concept
is based on extracting two powerful attributes
from moving objects, namely velocity and pixel
frequency distribution. Combining the two
measurements mentioned using crisp set rules
in order to evaluate the active section in the
image plane. The experimental results proved
the efficiency of the technique.