An Algorithm on Alert Generation for Proximity Sensing in Real Time Video Streams

This research work presents a framework for computer vision based surveillance system to generate an alert if any moving body is localized within a defined sensitive area. This is done by using a proximity operation. The approach that is used here is based on detection of a sensitive area at first and the non unique identification of the paths of all of the objects entering at a standoff distance of that sensitive area. After identifying the sensitive area while doing the path identification phase, a catalog is maintained and that consists of the co-ordinates of the already entered objects as well as the newly entering objects. The work also generates an alert with the help of a relative study of those cataloged data with respect to that of a predefined reference frame. The proposed algorithm is validated using real time video taken by CCTV footage and as well as using an animated video which consists of all types of possible test cases.