  Efficient security management has become an important parameter in todays
world. As the problem is growing, there is an urgent need for the introduction
of advanced technology and equipment to improve the state-of art of
surveillance. In this paper we propose a model for real time background
subtraction using AGMM. The proposed model is robust and adaptable to dynamic
background, fast illumination changes, repetitive motion. Also we have
incorporated a method for detecting shadows using the Horpresert color model.
The proposed model can be employed for monitoring areas where movement or entry
is highly restricted. So on detection of any unexpected events in the scene an
alarm can be triggered and hence we can achieve real time surveillance even in
the absence of constant human monitoring.
