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My ICIP 2006 Schedule
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Paper Detail
| Paper: | MP-L1.1 |
| Session: | Visual Tracking |
| Time: | Monday, October 9, 14:20 - 14:40 |
| Presentation: |
Lecture |
| Topic: |
Image & Video Segmentation: Video object segmentation and tracking |
| Title: |
MODEL-FREE, STATISTICAL DETECTION AND TRACKING OF MOVING OBJECTS |
| Authors: |
Mark Ross; University of Koblenz | | |
| Abstract: |
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need any prior models of the objects of interest or of the scene. It starts with homogenous regions as tracking primitives and creates complex objects by merging similar moving regions. Even partially occluded objects in a sequence captured by a moving camera can be tracked efficently and robust. |
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