TY - JFULL AU - A. A. Shafie and Fadhlan Hafiz and M. H. Ali PY - 2009/9/ TI - Motion Detection Techniques Using Optical Flow T2 - International Journal of Electrical and Computer Engineering SP - 1554 EP - 1557 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/8745 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 32, 2009 N2 - Motion detection is very important in image processing. One way of detecting motion is using optical flow. Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point, while the flow velocity has two components. A second constraint is needed. The method used for finding the optical flow in this project is assuming that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image. This technique is later used in developing software for motion detection which has the capability to carry out four types of motion detection. The motion detection software presented in this project also can highlight motion region, count motion level as well as counting object numbers. Many objects such as vehicles and human from video streams can be recognized by applying optical flow technique. ER -