Recovering the Topology of Multiple Cameras by Finding Continuous Paths in a Trellis
In this paper, we propose an unsupervised method for recovering the topology of multiple cameras with non-overlapping fields of view. The nodes in the topology graph are defined as entry/exit zones in each camera while the connectivity between nodes is inferred through finding continuous paths in a...
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Published in | 2010 20th International Conference on Pattern Recognition pp. 3541 - 3544 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2010
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Subjects | |
Online Access | Get full text |
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Summary: | In this paper, we propose an unsupervised method for recovering the topology of multiple cameras with non-overlapping fields of view. The nodes in the topology graph are defined as entry/exit zones in each camera while the connectivity between nodes is inferred through finding continuous paths in a trellis where appearance information and temporal information of moving objects are encoded. Unlike previous methods which assume a single mode transition distribution between nodes, our method is capable of dealing with multi-modal transition situations when both cars and pedestrians are in the scene. Results on simulated and real-life datasets demonstrate the effectiveness of the proposed method. |
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ISBN: | 1424475422 9781424475421 |
ISSN: | 1051-4651 2831-7475 |
DOI: | 10.1109/ICPR.2010.864 |