We propose and describe a novel video capturing system called Sat-Cam that can observe and record the users' activity from effective viewpoints to negate the effects of unsteady mobile video cameras or switching between a large number of video cameras in a given environment. By using real-time imagery from multiple cameras, our system generates virtual views fixed in relation to the object. The system consists of a capturing and segmentation components, a 3D modeling component, and a rendering component connected over a network. Results indicate that a scene rendered by Sat-Cam provides stable scenes that help viewers understand the activity in real time. By using the 3D modeling technique, an occlusion problem in object tracking is solved, allowing us to generate scenes from any direction and zooming in/out condition.
|Number of pages||8|
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Publication status||Published - 2004|
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)