Real time video surveillance is becoming increasingly important in the security of forest nowadays. Many efforts have been made in this field, to detect and track the human and human activities in scene and recognize simple motion such as walking and running. Real time Video surveillance is an alternative attempting to prevent the events to happen (or reduce their chances). This paper presents a digital real time video surveillance system with distributed IP-cameras. In this paper we present a real-time surveillance [3] system framework for recognizing complex activities in the defined area. In our system we detect moving objects in the scene [III] and use tracking algorithm [IV] to record activities for further analysis. Compared with the traditional surveillance system, an IP based distributed system surveillance offers much better flexibility in video content processing and transmission [5]. At the same time, it, also, can easily implement advanced features such as real time transmission of video and audio if connected through known ip address. Real time videos from distributed cameras are transmitted.