Estimation Of Number Of People In Crowded Scenes Using Amid And Pdc
C. Jerlin Sheela Hani, Dr S.Sumathi · IOSR Journal of Electronics and Communication Engineering · 2014
Crowd density estimation in wide areas is a challenging problem for visual surveillance.So the safety of people in a crowds has been a major problem.Hence proposed a system to estimate the number of people in crowded scenes using AMID and PDC for wide-area surveillance .In monocular image sequences, the Accumulated Mosaic Image Difference (AMID) method is applied to extract crowd areas having irregular motion.The specific number of persons and velocity of a crowd can be adequately estimated by our system from the density of crowded areas.By using multi-camera network, the camera can predict the crowd density several minutes in advance.The system has been used in real applications, and numerous experiments conducted in real scenes (station, park, plaza) demonstrate the effectiveness and robustness of the proposed method.