| Paper: | IMDSP-P11.4 | ||
| Session: | Video Analysis | ||
| Time: | Friday, May 21, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Analysis | ||
| Title: | APPEARANCE-BASED TRACKING AND RECOGNITION USING THE 3D TRILINEAR TENSOR | ||
| Authors: | Jie Shao; University of Maryland, College Park | ||
| Shaohua Zhou; University of Maryland, College Park | |||
| Rama Chellappa; University of Maryland, College Park | |||
| Abstract: | The paper presents an appearance-based adaptive algorithm forsimultaneous tracking and recognition by generalizing thetransformation model to 3D perspective transformation. A trilineartensor operator is used to represent the 3D geometrical structure.The tensor is estimated by predicting the corresponding pointsusing the existing affine-transformation based algorithm. Theestimated tensor is used to synthesize novel views to update theappearance templates. Some experimental results using airbornevideo are presented. | ||
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