Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/44503
- Camera control and multimedia interaction using individual object recognition
Xu, Richard Y. D.;
Jin, Jesse S.
- The University of Newcastle. Faculty of Science & Information Technology, School of Design, Communication and Information Technology
- Currently, most of the automated, computervision assisted camera control policies are based on human events, such as the speaker gesture and position changes. In addition to these events, in this paper, we introduce a set of natural camera control and multimedia synchronization schemes based on the individual object interaction. We describe in detail, how our unique method, in which the head-pose estimation are used to compute the region of interest (ROI) for recognizing the hand-held object. We explain, from our results, how our approach has achieved robustness, efficiency and unambiguous object interaction during real-time video shooting.
- Journal of Multimedia Vol. 2, Issue 3, p. 77-85
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- journal article