Detecting static objects in scenes containing significant number of moving objects has several applications in video surveillance. One example is the detection of suspicious packages which is left unattended in an airport terminal or railway station. This paper outlines an approach to automatically detect static objects from a video sequence of a busy scene. Our approach consists of two phase : foreground object extraction and object matching. In the first phase, we find the foreground objects in current video frame, using an image of a background as reference. In the object matching phase, we try to match the objects with objects that appears before in previous frames. Matching is done based on three parameter : shape and position, intensity and edge. Temporary occluded of objects is also handled. We built a system based on our approach. Preliminary experiments shows that our system are able to identify static objects in a busy scene in real time.