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- W2046724945 abstract "A robust image processing technique capable of detecting and localizing objects accurately plays an important role in many computer vision applications. In this paper, a feature based detector for birds is proposed. By combining Histogram of Oriented Gradients (HOG) and Center-Symmetric Local Binary Pattern (CS-LBP) as the feature set, detection of crows under various lighting conditions could be carried out. A dataset of crow birds with a wide range of poses and backgrounds was prepared and learned using linear Support Vector Machine (SVM). Experiments on different test images show that HOG and CS-LBP based descriptors can achieve 87% accuracy." @default.
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- W2046724945 date "2012-11-01" @default.
- W2046724945 modified "2023-10-18" @default.
- W2046724945 title "Crow birds detection using HOG and CS-LBP" @default.
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- W2046724945 doi "https://doi.org/10.1109/ispacs.2012.6473520" @default.
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