Moving object detection and tracking in video surveillance
Jia He · Computer Engineering and Applications Journal · 2010
For the stationary scene,a block based background reconstruction algorithm is presented which can overcome fuzzy shortcoming by mean method.Then the background-subtraction method is used to detect the moving objects.After that the morphological process is adopted to fill the holes in moving objects,wipe out the noise spots and improve the detection.In order to fit to the background changet,he adaptive background updating is used.To improve the accuracy of trackingt,he modified Meanshift algorithm is carried out.Simulations show that this algorithm can detect objects effectively and track the objects rapidly and accurately.