Camera control and multimedia interaction using individual object recognition

Publication Type:
Journal Article
Journal of Multimedia, 2007, 2 (3), pp. 77 - 85
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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. © 2007 ACADEMY PUBLISHER.
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