National Conference on Synergetic Trends in engineering and Technology (STET-2014)

Detection and tracking is the most important technique in the synthetic environment. In this paper we are proposed the real time detection and tracking algorithm using Kalman filter. Kalman filter is based on the assumption base, it is the predictable algorithm through which we can detect and track the human poses. In this paper we design an algorithm to the track of human poses with the help of advanced Kalman filter. Real time tracking is obtained by the human poses how human is moved from one system to another. Basically it is based on the video surveillance system. A Kalman filter is based on the bounding box of the person. Kalman filter algorithm is totally based on the human poses and the detection and the tracking. The result shows the efficiency and performance of the human and how actually it works. In the last decay several algorithm provide the efficiency and performance of the human motion. Kalman filter give the better performance and better efficiency and result. Detection and tracking is used to detect the human poses. Kalman filter is based on the real time processing of the system.