Ngoc, T.N. (2015) An efficient LBP-based descriptor for real-time object detection. In: 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014, 14 December 2014 through 17 December 2014.
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Abstract
This paper presents a novel method for interest region description which is based on the idea that the appearance of an interest region can be well characterized by the distribution of its local features. We introduce a new texture feature called Grid of Local Binary Patterns (GoLBP) that is a modified version of the well-known Local Binary Pattern (LBP) feature. Experiments show that, the proposed descriptor can be used for the real-time vehicle detection in Vietnam. © 2014 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1109/CISDA.2014.7035635 |
| Uncontrolled Keywords: | Textures; Descriptors; Interest regions; Local binary patterns; Local feature; Real time; Texture features; Vehicle detection; Viet Nam; Object detection |
| Additional Information: | Conference code: 110865. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/9938 |
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