Abstract
This paper presents an object detection algorithm using multiple cameras, which is robust in the presence of cast shadows. The information fusion is based on homography mapping of the foreground regions to a top view image. The homography is based on multiple planar planes parallel to the ground plane. Two novel approaches to estimating such homography have been proposed. The results on an open video dataset are demonstrated.
Original language | English |
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Title of host publication | Proceedings - 6th International Conference on Image and Graphics, ICIG 2011 |
Publisher | IEEE Computer Society |
Pages | 494-499 |
Number of pages | 6 |
ISBN (Print) | 9780769545417 |
DOIs | |
Publication status | Published - 12 Aug 2011 |
Event | 6th International Conference on Image and Graphics, ICIG 2011 - Hefei, Anhui, China Duration: 12 Aug 2011 → 15 Aug 2011 |
Publication series
Name | Proceedings - 6th International Conference on Image and Graphics, ICIG 2011 |
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Conference
Conference | 6th International Conference on Image and Graphics, ICIG 2011 |
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Country/Territory | China |
City | Hefei, Anhui |
Period | 12/08/11 → 15/08/11 |
Keywords
- Detection
- Homography
- Motion analysis
- Video surveillance
Cite this
Xu, M., Ren, J., Chen, D., Smith, J. S., & Liu, Z. (2011). A multiview approach to robust detection in the presence of cast shadows. In Proceedings - 6th International Conference on Image and Graphics, ICIG 2011 (pp. 494-499). Article 6005850 (Proceedings - 6th International Conference on Image and Graphics, ICIG 2011). IEEE Computer Society. https://doi.org/10.1109/ICIG.2011.180