Vehicle Tracking using Video Cameras

In Malaysia, road crime cases keep increasing days to days and the resolved cases are very minimal. This leads to how importance it is to improve our security system, especially in vehicle‟s surveillance system. In a common security application, human observation plays an important role as they need to monitor the camera‟s output on a TV and detect when any expected events occur. However, relying on human‟s eyes is not a reliable system as the technology now allows an automatic detection system. The „Vehicles Tracking System Using Video Cameras‟ is the basic solution to those problems. The scope for this project is narrowed down to moving vehicles on the road. The main idea of this project is to track vehicle using their colour properties. Different vehicle‟s image has different colour properties. These colour properties will set as an identification of a vehicle. This identification will be utilised to track down the identified vehicle earlier. MATLAB is utilised for the algorithm development. In MATLAB, background subtraction is performed as to extract the foreground image from the background image. The foreground image will be further analysed and processed to gather as much as data. The data will include the colour properties of the image. The result shows that information stored in colour properties are sufficient to be used for vehicles tracking.