ISSN : 1796-2048
Volume : 2    Issue : 3    Date : June 2007

Camera Control and Multimedia Interaction using Individual Object Recognition
Richard Y. D. Xu and Jesse S. Jin
Page(s): 77-85
Full Text:
PDF (806 KB)

Currently, most of the automated, computer vision 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.

Index Terms
object recognition, interaction, SIFT, camera control, multimedia synchronization