Local Initiation Method for Multiple Object Association in Surveillance Environment with Multiple Cameras

Multiple object association is an important capability in visual surveillance system with multiple cameras. An association approach using the limits of field of View (FOV) of cameras is well accepted but this approach has to wait until the object crosses the limits for association. Also, FOV information has to be determined whenever the setup of camera is changed. Our approach is to dynamically generate the global homographic line whenever it is needed for multi-object association with the aim to work on dynamic camera environment, where the change of camera frequently occurs and objects move in a complicated fashion. We show that, with this approach, the system can initiate association procedure as needed and allow itself to actively adapt to the dynamic environment, while maintaining consistent states of the objects.