Published Paper Details:

Detecting and tracking objects are among the most prevalent and challenging tasks that a surveillance system has to accomplish in order to determine meaningful events and suspicious activities, and automatically annotate and retrieve video content. Detection can be achieved by building a representation of the scene, frame difference is the method we use for background subtraction ,frame differencing is the intensity dissimilarity between two frames assuming that intensity change of a pixel apparently indicate something changing in the image, that is a moving object. It simply subtracts the current image from the previous or a reference image. After the detection, it is then the tracker�s task to perform find its correspondence in the following frames while constructing object�s trajectory. Here we use kalman filter to do the tracking of the objects. Thus in this way we can be able to detect and track the movable objects in a video.