Individual Object Interaction for Camera Control and Multimedia Synchronization

In recent times, most of the computer-vision assisted automatic camera control policies are based on human events, such as speaker position changes. In addition to these events, in this paper, we introduce a set of natural camera control and multimedia synchronization schemes based on individual object interaction. We present our methods in detail, including head-pose calculation and laser pointer guidance, which are used to estimate the region of interest (ROI) for both hand-held and object-at-distance. We explain, from our results, of how these set of approaches have achieved robustness, efficiency and unambiguous object interaction during real-time video shooting