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Published Articles >> Table of Contents >> Abstract
2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2
pp. 928-935
Integrating and Employing Multiple Levels of Zoom for Activity Recognition
Paul Smith, University of Central Florida
Mubarak Shah, University of Central Florida
Niels da Vitoria Lobo, University of Central Florida
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.133
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| Abstract |
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To facilitate activity recognition, analysis of the scene at multiple levels of detail is necessary. Required prerequisites for our activity recognition are tracking objects across frames and establishing a consistent labeling of objects across cameras. This paper makes several innovative uses of the epipolar constraint in the context of activity recognition. We first demonstrate how we track heads and hands using the epipolar geometry. Next we show how the detected objects are labeled consistently across cameras and zooms by employing epipolar, spatial, trajectory, and appearance properties. Finally we show how our method, utilizing the multiple levels of detail, is able to answer activity recognition problems which are difficult to answer with a single level of detail.
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 Additional Information
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Citation:
Paul Smith, Mubarak Shah, Niels da Vitoria Lobo,
"Integrating and Employing Multiple Levels of Zoom for Activity Recognition,"
cvpr,
pp. 928-935,
2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2,
2004
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