Homographic line generation and transformation technique for dynamic object association

Object association among multiple cameras is an important capability for maintaining consistent view of surroundings. This is necessary in many applications such as tracking and surveillance. In this paper, we present a dynamic homographic line generation technique supporting the camera movement for object association in the multiple visual sensors network. The conventional method uses the globally defined homographic lines or the feature based methods for the object association. However, these methods restrict the camera movement (i.e., panning, tilting and zooming) required for efficient and effective association in the autonomous surveillance system. The proposed method uses the table based compensation for non-ideal camera parameters to support the camera movement. Lastly, two possible application models are simulated with the proposed technique.