Abstract
To increase the robustness of detection in intelligent video surveillance systems, homography has been widely used to fuse foreground regions projected from multiple camera views to a reference view. However, the intersections of non-corresponding foreground regions can cause phantoms. This paper proposes a colour statistical approach to cope with this problem. This method is based on the Mahalanobis distance between the colour patches which correspond to the same foreground region in the reference view. This method can overcome the problems in the pixelwise colour correlation approach.
| Original language | English |
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| Title of host publication | Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 |
| Pages | 756-761 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 14 Oct 2012 |
| Event | 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, Korea, Republic of Duration: 14 Oct 2012 → 17 Oct 2012 |
Publication series
| Name | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
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| ISSN (Print) | 1062-922X |
Conference
| Conference | 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 |
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| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 14/10/12 → 17/10/12 |
Keywords
- homography
- motion detection
- video surveillance
Cite this
Ren, J., Xu, M., & Smith, J. S. (2012). A colour statistical approach to phantom pruning in multi-view detection. In Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 (pp. 756-761). Article 6377818 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2012.6377818