Understanding 3-dimensional dynamic environment fusing multiple images by mixed-state condensation algorithm
| Autor: | K. Hamasaki, Koichiro Deguchi, Taira Nakajima, Takayuki Okatani |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
business.industry
Iterative method ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Iterative reconstruction Tracking (particle physics) Image (mathematics) Position (vector) Computer vision Artificial intelligence Condensation algorithm State (computer science) business ComputingMethodologies_COMPUTERGRAPHICS Mathematics |
| Zdroj: | Proceedings of the 41st SICE Annual Conference. SICE 2002.. |
| DOI: | 10.1109/sice.2002.1196619 |
| Popis: | In this paper, we propose an efficient method for tracking multiple objects, which deals with occlusion situations in an image. We use the shape from silhouettes method to reconstruct objects 3D position using images taken from different directions. Then we track the objects' reconstructed 3D positions by using the mixed-state condensation algorithm. The experimental results show the tracking of multiple objects robustly. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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