Learning Semantic Scene Models by Trajectory Analysis
In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from long-term observations of moving objects in the scene. First, we introduce two novel similarity measures for comparing trajectories in far-field visual surve...
| Main Authors: | , , |
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| Other Authors: | |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://hdl.handle.net/1721.1/31208 |